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Null-sampling for Interpretable and Fair Representations | 21 | eccv | 0 | 8 | 2023-06-17 00:19:36.061000 | https://github.com/predictive-analytics-lab/nifr | 9 | Null-sampling for interpretable and fair representations | https://scholar.google.com/scholar?cluster=8383882563296788153&hl=en&as_sdt=0,5 | 2 | 2,020 |
Guiding Monocular Depth Estimation Using Depth-Attention Volume | 108 | eccv | 3 | 7 | 2023-06-17 00:19:36.274000 | https://github.com/HuynhLam/DAV | 35 | Guiding monocular depth estimation using depth-attention volume | https://scholar.google.com/scholar?cluster=14459496716654337844&hl=en&as_sdt=0,5 | 6 | 2,020 |
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer | 43 | eccv | 7 | 2 | 2023-06-17 00:19:36.486000 | https://github.com/mikuhatsune/wsod_transfer | 36 | Boosting weakly supervised object detection with progressive knowledge transfer | https://scholar.google.com/scholar?cluster=5930793902797730222&hl=en&as_sdt=0,10 | 1 | 2,020 |
BézierSketch: A generative model for scalable vector sketches | 34 | eccv | 7 | 4 | 2023-06-17 00:19:36.698000 | https://github.com/dasayan05/stroke-ae | 26 | Béziersketch: A generative model for scalable vector sketches | https://scholar.google.com/scholar?cluster=7735802383076334528&hl=en&as_sdt=0,5 | 3 | 2,020 |
Domain Adaptation Through Task Distillation | 12 | eccv | 4 | 7 | 2023-06-17 00:19:36.910000 | https://github.com/bradyz/task-distillation | 47 | Domain adaptation through task distillation | https://scholar.google.com/scholar?cluster=14208444845509300278&hl=en&as_sdt=0,25 | 4 | 2,020 |
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning | 68 | eccv | 7 | 1 | 2023-06-17 00:19:37.123000 | https://github.com/Chenglin-Yang/PatchAttack | 44 | Patchattack: A black-box texture-based attack with reinforcement learning | https://scholar.google.com/scholar?cluster=13442814540472236910&hl=en&as_sdt=0,5 | 6 | 2,020 |
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning | 47 | eccv | 3 | 0 | 2023-06-17 00:19:37.343000 | https://github.com/Liuy8/MUC | 10 | More classifiers, less forgetting: A generic multi-classifier paradigm for incremental learning | https://scholar.google.com/scholar?cluster=5010168576518209&hl=en&as_sdt=0,5 | 0 | 2,020 |
Extending and Analyzing Self-Supervised Learning Across Domains | 32 | eccv | 0 | 0 | 2023-06-17 00:19:37.565000 | https://github.com/BramSW/Extending_SSRL_Across_Domains | 9 | Extending and analyzing self-supervised learning across domains | https://scholar.google.com/scholar?cluster=3709483693030760570&hl=en&as_sdt=0,22 | 2 | 2,020 |
LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities | 25 | eccv | 0 | 0 | 2023-06-17 00:19:37.777000 | https://github.com/Buzz-Beater/LEMMA | 26 | LEMMA: A Multi-view Dataset for LE arning M ulti-agent M ulti-task A ctivities | https://scholar.google.com/scholar?cluster=11676801942809220755&hl=en&as_sdt=0,33 | 3 | 2,020 |
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images | 9 | eccv | 1 | 1 | 2023-06-17 00:19:37.989000 | https://github.com/matthewpurri/Teaching-Cameras-to-Feel | 10 | Teaching cameras to feel: Estimating tactile physical properties of surfaces from images | https://scholar.google.com/scholar?cluster=9220316749417109631&hl=en&as_sdt=0,44 | 3 | 2,020 |
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification | 108 | eccv | 6 | 2 | 2023-06-17 00:19:38.201000 | https://github.com/djidje/D-MMD | 24 | Unsupervised domain adaptation in the dissimilarity space for person re-identification | https://scholar.google.com/scholar?cluster=15028534376881973001&hl=en&as_sdt=0,5 | 2 | 2,020 |
Learn distributed GAN with Temporary Discriminators | 14 | eccv | 3 | 0 | 2023-06-17 00:19:38.413000 | https://github.com/huiqu18/TDGAN-PyTorch | 13 | Learn distributed gan with temporary discriminators | https://scholar.google.com/scholar?cluster=2068516580116127522&hl=en&as_sdt=0,47 | 2 | 2,020 |
Improving Adversarial Robustness by Enforcing Local and Global Compactness | 20 | eccv | 1 | 0 | 2023-06-17 00:19:38.624000 | https://github.com/tuananhbui89/Adversarial-Divergence-Reduction | 15 | Improving adversarial robustness by enforcing local and global compactness | https://scholar.google.com/scholar?cluster=4168951253624170834&hl=en&as_sdt=0,14 | 2 | 2,020 |
Channel selection using Gumbel Softmax | 18 | eccv | 2 | 1 | 2023-06-17 00:19:38.837000 | https://github.com/irwinherrmann/stochastic-gates | 14 | Channel selection using gumbel softmax | https://scholar.google.com/scholar?cluster=5413676769547873619&hl=en&as_sdt=0,5 | 3 | 2,020 |
Structure-Aware Generation Network for Recipe Generation from Images | 22 | eccv | 2 | 0 | 2023-06-17 00:19:39.048000 | https://github.com/hwang1996/SGN | 6 | Structure-aware generation network for recipe generation from images | https://scholar.google.com/scholar?cluster=871021465897283825&hl=en&as_sdt=0,14 | 1 | 2,020 |
A Simple and Effective Framework for Pairwise Deep Metric Learning | 14 | eccv | 2 | 0 | 2023-06-17 00:19:39.260000 | https://github.com/qiqi-helloworld/A-Simple-and-Effective-Framework-for-Pairewise-Distance-Metric-Learning | 15 | A simple and effective framework for pairwise deep metric learning | https://scholar.google.com/scholar?cluster=13095033614856237207&hl=en&as_sdt=0,33 | 5 | 2,020 |
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner | 105 | eccv | 37 | 18 | 2023-06-17 00:19:39.472000 | https://github.com/eugenelet/Meta-rPPG | 152 | Meta-rppg: Remote heart rate estimation using a transductive meta-learner | https://scholar.google.com/scholar?cluster=7850359782762326007&hl=en&as_sdt=0,8 | 8 | 2,020 |
A Recurrent Transformer Network for Novel View Action Synthesis | 11 | eccv | 3 | 0 | 2023-06-17 00:19:39.684000 | https://github.com/schatzkara/cross-view-video | 5 | A recurrent transformer network for novel view action synthesis | https://scholar.google.com/scholar?cluster=15711295404970654559&hl=en&as_sdt=0,22 | 1 | 2,020 |
Multi-view Action Recognition using Cross-view Video Prediction | 41 | eccv | 2 | 1 | 2023-06-17 00:19:39.896000 | https://github.com/svyas23/cross-view-action | 10 | Multi-view action recognition using cross-view video prediction | https://scholar.google.com/scholar?cluster=11827356971279525643&hl=en&as_sdt=0,15 | 2 | 2,020 |
Attributional Robustness Training using Input-Gradient Spatial Alignment | 14 | eccv | 1 | 1 | 2023-06-17 00:19:40.108000 | https://github.com/nupurkmr9/Attributional-Robustness | 9 | Attributional robustness training using input-gradient spatial alignment | https://scholar.google.com/scholar?cluster=5894581805263046049&hl=en&as_sdt=0,5 | 2 | 2,020 |
Learning Data Augmentation Strategies for Object Detection | 460 | eccv | 1,790 | 294 | 2023-06-17 00:19:40.320000 | https://github.com/tensorflow/tpu | 5,128 | Learning data augmentation strategies for object detection | https://scholar.google.com/scholar?cluster=6812705747376678918&hl=en&as_sdt=0,5 | 368 | 2,020 |
A Closer Look at Generalisation in RAVEN | 27 | eccv | 2 | 1 | 2023-06-17 00:19:40.548000 | https://github.com/SvenShade/Rel-AIR | 9 | A closer look at generalisation in raven | https://scholar.google.com/scholar?cluster=13561133634232462860&hl=en&as_sdt=0,47 | 1 | 2,020 |
Supervised Edge Attention Network for Accurate Image Instance Segmentation | 23 | eccv | 3 | 3 | 2023-06-17 00:19:40.760000 | https://github.com/IPIU-detection/SEANet | 37 | Supervised edge attention network for accurate image instance segmentation | https://scholar.google.com/scholar?cluster=14091777638969346720&hl=en&as_sdt=0,6 | 1 | 2,020 |
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model | 0 | eccv | 2 | 0 | 2023-06-17 00:19:40.972000 | https://github.com/johnjaniczek/InfraRender | 9 | Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model | https://scholar.google.com/scholar?cluster=9730877713610471719&hl=en&as_sdt=0,5 | 2 | 2,020 |
Fast Adaptation to Super-Resolution Networks via Meta-Learning | 59 | eccv | 10 | 6 | 2023-06-17 00:19:41.185000 | https://github.com/parkseobin/MLSR | 62 | Fast adaptation to super-resolution networks via meta-learning | https://scholar.google.com/scholar?cluster=2341211698472321158&hl=en&as_sdt=0,5 | 2 | 2,020 |
TP-LSD: Tri-Points Based Line Segment Detector | 28 | eccv | 3 | 0 | 2023-06-17 00:19:41.398000 | https://github.com/MegviiRobot/TP-LSD | 15 | TP-LSD: tri-points based line segment detector | https://scholar.google.com/scholar?cluster=6400557832052770197&hl=en&as_sdt=0,5 | 1 | 2,020 |
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation | 256 | eccv | 44 | 20 | 2023-06-17 00:19:41.611000 | https://github.com/chenfengxu714/SqueezeSegV3 | 204 | Squeezesegv3: Spatially-adaptive convolution for efficient point-cloud segmentation | https://scholar.google.com/scholar?cluster=7152843580026291823&hl=en&as_sdt=0,5 | 14 | 2,020 |
Toward Fine-grained Facial Expression Manipulation | 21 | eccv | 6 | 2 | 2023-06-17 00:19:41.823000 | https://github.com/junleen/Expression-manipulator | 73 | Toward fine-grained facial expression manipulation | https://scholar.google.com/scholar?cluster=4315747798793734423&hl=en&as_sdt=0,44 | 3 | 2,020 |
Table Structure Recognition using Top-Down and Bottom-Up Cues | 58 | eccv | 30 | 16 | 2023-06-17 00:19:42.035000 | https://github.com/sachinraja13/TabStructNet | 120 | Table structure recognition using top-down and bottom-up cues | https://scholar.google.com/scholar?cluster=2722841457437928137&hl=en&as_sdt=0,5 | 7 | 2,020 |
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder | 9 | eccv | 0 | 1 | 2023-06-17 00:19:42.247000 | https://github.com/MingyuY/deformable-view-synthesis | 8 | Novel view synthesis on unpaired data by conditional deformable variational auto-encoder | https://scholar.google.com/scholar?cluster=15129562547738444484&hl=en&as_sdt=0,33 | 4 | 2,020 |
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments | 132 | eccv | 42 | 17 | 2023-06-17 00:19:42.460000 | https://github.com/jacobkrantz/VLN-CE | 156 | Beyond the nav-graph: Vision-and-language navigation in continuous environments | https://scholar.google.com/scholar?cluster=12356535904920559525&hl=en&as_sdt=0,21 | 10 | 2,020 |
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition | 6 | eccv | 0 | 0 | 2023-06-17 00:19:42.672000 | https://github.com/gyhandy/Pose-Augmentation | 10 | Pose augmentation: Class-agnostic object pose transformation for object recognition | https://scholar.google.com/scholar?cluster=5169657450201203734&hl=en&as_sdt=0,33 | 2 | 2,020 |
Improving Knowledge Distillation via Category Structure | 9 | eccv | 4 | 1 | 2023-06-17 00:19:42.883000 | https://github.com/xeanzheng/CSKD | 10 | Improving knowledge distillation via category structure | https://scholar.google.com/scholar?cluster=16347836719030291096&hl=en&as_sdt=0,39 | 1 | 2,020 |
Patch-wise Attack for Fooling Deep Neural Network | 69 | eccv | 21 | 0 | 2023-06-17 00:19:43.095000 | https://github.com/qilong-zhang/Patch-wise-iterative-attack | 85 | Patch-wise attack for fooling deep neural network | https://scholar.google.com/scholar?cluster=16471811607657933067&hl=en&as_sdt=0,14 | 5 | 2,020 |
Feature Pyramid Transformer | 191 | eccv | 64 | 13 | 2023-06-17 00:19:43.307000 | https://github.com/ZHANGDONG-NJUST/FPT | 387 | Feature pyramid transformer | https://scholar.google.com/scholar?cluster=12312432945168097183&hl=en&as_sdt=0,5 | 13 | 2,020 |
Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes | 83 | eccv | 780 | 13 | 2023-06-17 00:19:43.519000 | https://github.com/JDAI-CV/fast-reid | 2,986 | Guided saliency feature learning for person re-identification in crowded scenes | https://scholar.google.com/scholar?cluster=2838799385744804703&hl=en&as_sdt=0,15 | 61 | 2,020 |
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection | 92 | eccv | 1 | 0 | 2023-06-17 00:19:43.730000 | https://github.com/OIPLab-DUT/ATSA | 12 | Asymmetric two-stream architecture for accurate RGB-D saliency detection | https://scholar.google.com/scholar?cluster=5345318718218751578&hl=en&as_sdt=0,5 | 1 | 2,020 |
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation | 21 | eccv | 0 | 3 | 2023-06-17 00:19:43.942000 | https://github.com/madhubabuv/NightDepthADFA | 14 | Unsupervised monocular depth estimation for night-time images using adversarial domain feature adaptation | https://scholar.google.com/scholar?cluster=9606453005281318583&hl=en&as_sdt=0,5 | 8 | 2,020 |
Deep Decomposition Learning for Inverse Imaging Problems | 21 | eccv | 5 | 1 | 2023-06-17 00:19:44.154000 | https://github.com/edongdongchen/DDN | 20 | Deep decomposition learning for inverse imaging problems | https://scholar.google.com/scholar?cluster=17334961326198581936&hl=en&as_sdt=0,5 | 3 | 2,020 |
FLOT: Scene Flow on Point Clouds guided by Optimal Transport | 94 | eccv | 14 | 3 | 2023-06-17 00:19:44.366000 | https://github.com/valeoai/FLOT | 82 | Flot: Scene flow on point clouds guided by optimal transport | https://scholar.google.com/scholar?cluster=2677092422885067102&hl=en&as_sdt=0,44 | 5 | 2,020 |
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks | 19 | eccv | 1 | 3 | 2023-06-17 00:19:44.578000 | https://github.com/baldassarreFe/ws-vrd | 16 | Explanation-based weakly-supervised learning of visual relations with graph networks | https://scholar.google.com/scholar?cluster=11480370248214628981&hl=en&as_sdt=0,43 | 5 | 2,020 |
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution | 335 | eccv | 104 | 4 | 2023-06-17 00:19:44.791000 | https://github.com/mit-han-lab/spvnas | 507 | Searching efficient 3d architectures with sparse point-voxel convolution | https://scholar.google.com/scholar?cluster=3595179925785709996&hl=en&as_sdt=0,5 | 26 | 2,020 |
Online Continual Learning under Extreme Memory Constraints | 47 | eccv | 0 | 1 | 2023-06-17 00:19:45.003000 | https://github.com/DonkeyShot21/batch-level-distillation | 14 | Online continual learning under extreme memory constraints | https://scholar.google.com/scholar?cluster=4749754622818449232&hl=en&as_sdt=0,7 | 3 | 2,020 |
Learning to Cluster under Domain Shift | 15 | eccv | 6 | 0 | 2023-06-17 00:19:45.215000 | https://github.com/willi-menapace/acids-clustering-domain-shift | 14 | Learning to cluster under domain shift | https://scholar.google.com/scholar?cluster=3979905123451703276&hl=en&as_sdt=0,33 | 2 | 2,020 |
Learning to Learn Parameterized Classification Networks for Scalable Input Images | 9 | eccv | 6 | 0 | 2023-06-17 00:19:45.427000 | https://github.com/d-li14/SAN | 42 | Learning to learn parameterized classification networks for scalable input images | https://scholar.google.com/scholar?cluster=13408591419950977044&hl=en&as_sdt=0,11 | 3 | 2,020 |
Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction | 21 | eccv | 3 | 0 | 2023-06-17 00:19:45.644000 | https://github.com/vccimaging/StereoEventPTV | 5 | Stereo event-based particle tracking velocimetry for 3d fluid flow reconstruction | https://scholar.google.com/scholar?cluster=3513782980161247262&hl=en&as_sdt=0,36 | 2 | 2,020 |
Simplicial Complex based Point Correspondence between Images warped onto Manifolds | 0 | eccv | 2 | 0 | 2023-06-17 00:19:45.856000 | https://github.com/charusharma1991/PointCorrespondence | 3 | Simplicial Complex Based Point Correspondence Between Images Warped onto Manifolds | https://scholar.google.com/scholar?cluster=9937080153951248347&hl=en&as_sdt=0,5 | 2 | 2,020 |
Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration | 5 | eccv | 5 | 0 | 2023-06-17 00:19:46.068000 | https://github.com/IIT-PAVIS/ExHistCNN | 6 | Where to explore next? ExHistCNN for history-aware autonomous 3D exploration | https://scholar.google.com/scholar?cluster=5462601627695542953&hl=en&as_sdt=0,3 | 5 | 2,020 |
Recurrent Image Annotation With Explicit Inter-Label Dependencies | 7 | eccv | 2 | 0 | 2023-06-17 00:19:46.280000 | https://github.com/ayushidutta/multi-order-rnn | 3 | Recurrent image annotation with explicit inter-label dependencies | https://scholar.google.com/scholar?cluster=2522881965658875611&hl=en&as_sdt=0,44 | 2 | 2,020 |
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution | 80 | eccv | 13 | 2 | 2023-06-17 00:19:46.502000 | https://github.com/danfenghong/ECCV2020_CUCaNet | 74 | Cross-attention in coupled unmixing nets for unsupervised hyperspectral super-resolution | https://scholar.google.com/scholar?cluster=12534434538120882272&hl=en&as_sdt=0,23 | 5 | 2,020 |
Jointly De-biasing Face Recognition and Demographic Attribute Estimation | 89 | eccv | 6 | 6 | 2023-06-17 00:19:46.714000 | https://github.com/gongsixue/DebFace | 29 | Jointly de-biasing face recognition and demographic attribute estimation | https://scholar.google.com/scholar?cluster=4426968694206713308&hl=en&as_sdt=0,5 | 1 | 2,020 |
Regularized Loss for Weakly Supervised Single Class Semantic Segmentation | 11 | eccv | 3 | 1 | 2023-06-17 00:19:46.926000 | https://github.com/morduspordus/SingleClassRL | 16 | Regularized loss for weakly supervised single class semantic segmentation | https://scholar.google.com/scholar?cluster=3634752187915458670&hl=en&as_sdt=0,10 | 1 | 2,020 |
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks | 94 | eccv | 16 | 4 | 2023-06-17 00:19:47.138000 | https://github.com/chan8972/Spike-FlowNet | 75 | Spike-flownet: event-based optical flow estimation with energy-efficient hybrid neural networks | https://scholar.google.com/scholar?cluster=3835815807587343920&hl=en&as_sdt=0,31 | 4 | 2,020 |
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations | 51 | eccv | 6 | 4 | 2023-06-17 00:19:47.351000 | https://github.com/ssharmin/spikingNN-adversarial-attack | 11 | Inherent adversarial robustness of deep spiking neural networks: Effects of discrete input encoding and non-linear activations | https://scholar.google.com/scholar?cluster=6114430974328967869&hl=en&as_sdt=0,33 | 1 | 2,020 |
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks | 53 | eccv | 37 | 2 | 2023-06-17 00:19:47.564000 | https://github.com/barisgecer/TBGAN | 235 | Synthesizing coupled 3d face modalities by trunk-branch generative adversarial networks | https://scholar.google.com/scholar?cluster=4328029072096013677&hl=en&as_sdt=0,6 | 22 | 2,020 |
On Transferability of Histological Tissue Labels in Computational Pathology | 7 | eccv | 2 | 0 | 2023-06-17 00:19:47.778000 | https://github.com/mahdihosseini/HistoLabelTransfer | 6 | On transferability of histological tissue labels in computational pathology | https://scholar.google.com/scholar?cluster=16846387597639543570&hl=en&as_sdt=0,33 | 1 | 2,020 |
Laying the Foundations of Deep Long-Term Crowd Flow Prediction | 21 | eccv | 4 | 0 | 2023-06-17 00:19:47.991000 | https://github.com/SSSohn/LTCF | 3 | Laying the foundations of deep long-term crowd flow prediction | https://scholar.google.com/scholar?cluster=5039555755354429934&hl=en&as_sdt=0,14 | 1 | 2,020 |
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning | 88 | eccv | 1 | 2 | 2023-06-17 00:19:48.203000 | https://github.com/airmachine/EM-MIL-WeaklyActionDetection | 3 | Weakly-supervised action localization with expectation-maximization multi-instance learning | https://scholar.google.com/scholar?cluster=1132955599066578844&hl=en&as_sdt=0,33 | 1 | 2,020 |
Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation | 119 | eccv | 43 | 12 | 2023-06-17 00:19:48.415000 | https://github.com/cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation | 278 | Self-supervision with superpixels: Training few-shot medical image segmentation without annotation | https://scholar.google.com/scholar?cluster=11174300114042414673&hl=en&as_sdt=0,23 | 4 | 2,020 |
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery | 14 | eccv | 8 | 1 | 2023-06-17 00:19:48.627000 | https://github.com/raziehkaviani/rdosr | 27 | Representative-discriminative learning for open-set land cover classification of satellite imagery | https://scholar.google.com/scholar?cluster=4804415838454734672&hl=en&as_sdt=0,5 | 2 | 2,020 |
Structure-Aware Human-Action Generation | 25 | eccv | 10 | 1 | 2023-06-17 00:19:48.839000 | https://github.com/PingYu-iris/SA-GCN | 36 | Structure-aware human-action generation | https://scholar.google.com/scholar?cluster=3183660845039422264&hl=en&as_sdt=0,5 | 4 | 2,020 |
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning | 100 | eccv | 6 | 0 | 2023-06-17 00:19:49.051000 | https://github.com/Maunil/LsrGAN | 15 | Leveraging seen and unseen semantic relationships for generative zero-shot learning | https://scholar.google.com/scholar?cluster=590326590210496504&hl=en&as_sdt=0,33 | 2 | 2,020 |
UNITER: UNiversal Image-TExt Representation Learning | 1,247 | eccv | 106 | 45 | 2023-06-17 00:19:49.263000 | https://github.com/ChenRocks/UNITER | 727 | Uniter: Universal image-text representation learning | https://scholar.google.com/scholar?cluster=3224460637705754187&hl=en&as_sdt=0,5 | 17 | 2,020 |
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks | 1,220 | eccv | 244 | 137 | 2023-06-17 00:19:49.474000 | https://github.com/microsoft/Oscar | 977 | Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks | https://scholar.google.com/scholar?cluster=11463347095757497265&hl=en&as_sdt=0,36 | 25 | 2,020 |
Improving Face Recognition from Hard Samples via Distribution Distillation Loss | 45 | eccv | 6 | 1 | 2023-06-17 00:19:49.686000 | https://github.com/HuangYG123/DDL | 46 | Improving face recognition from hard samples via distribution distillation loss | https://scholar.google.com/scholar?cluster=7651826713991491344&hl=en&as_sdt=0,43 | 10 | 2,020 |
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision | 146 | eccv | 11 | 16 | 2023-06-17 00:19:49.898000 | https://github.com/Roc-Ng/XDVioDet | 73 | Not only look, but also listen: Learning multimodal violence detection under weak supervision | https://scholar.google.com/scholar?cluster=10605878118579816072&hl=en&as_sdt=0,5 | 3 | 2,020 |
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection | 109 | eccv | 68 | 19 | 2023-06-17 00:19:50.109000 | https://github.com/hlwang1124/SNE-RoadSeg | 258 | Sne-roadseg: Incorporating surface normal information into semantic segmentation for accurate freespace detection | https://scholar.google.com/scholar?cluster=14160509110411448410&hl=en&as_sdt=0,10 | 8 | 2,020 |
PieNet: Personalized Image Enhancement Network | 34 | eccv | 4 | 6 | 2023-06-17 00:19:50.321000 | https://github.com/hukim1124/PieNet | 16 | PieNet: Personalized image enhancement network | https://scholar.google.com/scholar?cluster=6964101604729902042&hl=en&as_sdt=0,11 | 4 | 2,020 |
Solving Phase Retrieval with a Learned Reference | 17 | eccv | 2 | 1 | 2023-06-17 00:19:50.548000 | https://github.com/CSIPlab/learnPR_reference | 5 | Solving phase retrieval with a learned reference | https://scholar.google.com/scholar?cluster=14938908551545200917&hl=en&as_sdt=0,5 | 2 | 2,020 |
Learning Depth from Focus in the Wild | 1 | eccv | 3 | 1 | 2023-06-17 00:57:18.782000 | https://github.com/wcy199705/dffinthewild | 22 | Learning Depth from Focus in the Wild | https://scholar.google.com/scholar?cluster=2277662841844363477&hl=en&as_sdt=0,18 | 1 | 2,022 |
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection | 10 | eccv | 9 | 2 | 2023-06-17 00:57:18.984000 | https://github.com/spengliang/did-m3d | 60 | DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection | https://scholar.google.com/scholar?cluster=10077939919896091502&hl=en&as_sdt=0,44 | 2 | 2,022 |
Lidar Point Cloud Guided Monocular 3D Object Detection | 18 | eccv | 2 | 7 | 2023-06-17 00:57:19.185000 | https://github.com/spengliang/lpcg | 57 | Lidar point cloud guided monocular 3d object detection | https://scholar.google.com/scholar?cluster=6505179244854514534&hl=en&as_sdt=0,5 | 4 | 2,022 |
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction | 10 | eccv | 5 | 4 | 2023-06-17 00:57:19.386000 | https://github.com/zerchen/AlignSDF | 58 | AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction | https://scholar.google.com/scholar?cluster=10747837529898160333&hl=en&as_sdt=0,10 | 3 | 2,022 |
A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation | 2 | eccv | 1 | 0 | 2023-06-17 00:57:19.586000 | https://github.com/elderlab-york-university/onlinefr | 11 | A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation | https://scholar.google.com/scholar?cluster=9688991035688790486&hl=en&as_sdt=0,47 | 3 | 2,022 |
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency | 11 | eccv | 13 | 1 | 2023-06-17 00:57:19.787000 | https://github.com/monniert/unicorn | 138 | Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency | https://scholar.google.com/scholar?cluster=905858586646092780&hl=en&as_sdt=0,14 | 7 | 2,022 |
AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture | 9 | eccv | 20 | 0 | 2023-06-17 00:57:19.988000 | https://github.com/lizhe00/avatarcap | 160 | AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture | https://scholar.google.com/scholar?cluster=8959785289577170097&hl=en&as_sdt=0,36 | 16 | 2,022 |
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers | 20 | eccv | 10 | 1 | 2023-06-17 00:57:20.189000 | https://github.com/postech-ami/fastmetro | 115 | Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers | https://scholar.google.com/scholar?cluster=730312962073430238&hl=en&as_sdt=0,5 | 7 | 2,022 |
Learning Visibility for Robust Dense Human Body Estimation | 2 | eccv | 2 | 2 | 2023-06-17 00:57:20.389000 | https://github.com/chhankyao/visdb | 33 | Learning Visibility for Robust Dense Human Body Estimation | https://scholar.google.com/scholar?cluster=18171136255429603389&hl=en&as_sdt=0,5 | 5 | 2,022 |
Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes | 4 | eccv | 5 | 10 | 2023-06-17 00:57:20.591000 | https://github.com/unclemedm/instpifu | 71 | Towards high-fidelity single-view holistic reconstruction of indoor scenes | https://scholar.google.com/scholar?cluster=14506116907832668928&hl=en&as_sdt=0,33 | 7 | 2,022 |
SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling | 2 | eccv | 1 | 0 | 2023-06-17 00:57:20.792000 | https://github.com/cjeen/sketchsampler | 7 | SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling | https://scholar.google.com/scholar?cluster=18018535923045905073&hl=en&as_sdt=0,31 | 2 | 2,022 |
LocalBins: Improving Depth Estimation by Learning Local Distributions | 10 | eccv | 0 | 3 | 2023-06-17 00:57:20.993000 | https://github.com/shariqfarooq123/localbins | 13 | LocalBins: Improving Depth Estimation by Learning Local Distributions | https://scholar.google.com/scholar?cluster=14145433689777855528&hl=en&as_sdt=0,5 | 3 | 2,022 |
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors | 5 | eccv | 0 | 0 | 2023-06-17 00:57:21.194000 | https://github.com/chenhsing/ssp3d | 7 | Semi-supervised Single-View 3D Reconstruction via Prototype Shape Priors | https://scholar.google.com/scholar?cluster=6186898633030921243&hl=en&as_sdt=0,41 | 1 | 2,022 |
SC-wLS: Towards Interpretable Feed-Forward Camera Re-localization | 5 | eccv | 1 | 1 | 2023-06-17 00:57:21.395000 | https://github.com/xinwu98/sc-wls | 9 | Sc-wls: Towards interpretable feed-forward camera re-localization | https://scholar.google.com/scholar?cluster=6921042683401788717&hl=en&as_sdt=0,25 | 2 | 2,022 |
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform | 7 | eccv | 0 | 2 | 2023-06-17 00:57:21.597000 | https://github.com/starrah/dmh-net | 22 | 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform | https://scholar.google.com/scholar?cluster=11975581524241113269&hl=en&as_sdt=0,44 | 2 | 2,022 |
RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation | 6 | eccv | 5 | 3 | 2023-06-17 00:57:21.797000 | https://github.com/lolrudy/rbp_pose | 17 | Rbp-pose: Residual bounding box projection for category-level pose estimation | https://scholar.google.com/scholar?cluster=12126305095965129873&hl=en&as_sdt=0,5 | 1 | 2,022 |
Monocular 3D Object Reconstruction with GAN Inversion | 5 | eccv | 4 | 1 | 2023-06-17 00:57:21.998000 | https://github.com/junzhezhang/mesh-inversion | 49 | Monocular 3d object reconstruction with gan inversion | https://scholar.google.com/scholar?cluster=9645145060229732560&hl=en&as_sdt=0,5 | 4 | 2,022 |
Map-Free Visual Relocalization: Metric Pose Relative to a Single Image | 6 | eccv | 10 | 1 | 2023-06-17 00:57:22.199000 | https://github.com/nianticlabs/map-free-reloc | 138 | Map-Free Visual Relocalization: Metric Pose Relative to a Single Image | https://scholar.google.com/scholar?cluster=17987996179618612140&hl=en&as_sdt=0,10 | 11 | 2,022 |
MHR-Net: Multiple-Hypothesis Reconstruction of Non-rigid Shapes from 2D Views | 0 | eccv | 0 | 0 | 2023-06-17 00:57:22.400000 | https://github.com/haitianzeng/MHR-Net | 2 | MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views | https://scholar.google.com/scholar?cluster=6068809755658094010&hl=en&as_sdt=0,5 | 1 | 2,022 |
Depth Map Decomposition for Monocular Depth Estimation | 2 | eccv | 1 | 1 | 2023-06-17 00:57:22.601000 | https://github.com/jyjunmcl/Depth-Map-Decomposition | 7 | Depth Map Decomposition for Monocular Depth Estimation | https://scholar.google.com/scholar?cluster=11990866349503333178&hl=en&as_sdt=0,5 | 1 | 2,022 |
Monitored Distillation for Positive Congruent Depth Completion | 7 | eccv | 1 | 2 | 2023-06-17 00:57:22.802000 | https://github.com/alexklwong/mondi-python | 23 | Monitored distillation for positive congruent depth completion | https://scholar.google.com/scholar?cluster=8699066993130708738&hl=en&as_sdt=0,3 | 3 | 2,022 |
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation | 8 | eccv | 0 | 1 | 2023-06-17 00:57:23.002000 | https://github.com/cvlab-epfl/perspective-flow-aggregation | 20 | Perspective flow aggregation for data-limited 6d object pose estimation | https://scholar.google.com/scholar?cluster=12417557895347708194&hl=en&as_sdt=0,33 | 5 | 2,022 |
Self-Calibrating Photometric Stereo by Neural Inverse Rendering | 8 | eccv | 0 | 0 | 2023-06-17 00:57:23.203000 | https://github.com/junxuan-li/scps-nir | 24 | Self-calibrating photometric stereo by neural inverse rendering | https://scholar.google.com/scholar?cluster=10952845318610614207&hl=en&as_sdt=0,5 | 1 | 2,022 |
3D Clothed Human Reconstruction in the Wild | 12 | eccv | 11 | 3 | 2023-06-17 00:57:23.404000 | https://github.com/hygenie1228/clothwild_release | 150 | 3D clothed human reconstruction in the wild | https://scholar.google.com/scholar?cluster=6884695873536132760&hl=en&as_sdt=0,41 | 10 | 2,022 |
3D Siamese Transformer Network for Single Object Tracking on Point Clouds | 14 | eccv | 2 | 2 | 2023-06-17 00:57:23.607000 | https://github.com/fpthink/stnet | 23 | 3d siamese transformer network for single object tracking on point clouds | https://scholar.google.com/scholar?cluster=5875426719120511667&hl=en&as_sdt=0,11 | 3 | 2,022 |
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction | 6 | eccv | 1 | 10 | 2023-06-17 00:57:23.808000 | https://github.com/kcyt/integratedpifu | 41 | Integratedpifu: Integrated pixel aligned implicit function for single-view human reconstruction | https://scholar.google.com/scholar?cluster=3324784253364642761&hl=en&as_sdt=0,5 | 4 | 2,022 |
Perspective Phase Angle Model for Polarimetric 3D Reconstruction | 3 | eccv | 1 | 0 | 2023-06-17 00:57:24.011000 | https://github.com/gcchen97/ppa4p3d | 10 | Perspective Phase Angle Model for Polarimetric 3D Reconstruction | https://scholar.google.com/scholar?cluster=13045067088047510071&hl=en&as_sdt=0,5 | 2 | 2,022 |
DeepShadow: Neural Shape from Shadow | 4 | eccv | 3 | 1 | 2023-06-17 00:57:24.211000 | https://github.com/asafkar/deep_shadow | 8 | Deepshadow: Neural shape from shadow | https://scholar.google.com/scholar?cluster=12388411260509479903&hl=en&as_sdt=0,10 | 2 | 2,022 |
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion | 0 | eccv | 0 | 0 | 2023-06-17 00:57:24.413000 | https://github.com/low5545/minimal-neural-atlas | 19 | Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion | https://scholar.google.com/scholar?cluster=13327805141771536693&hl=en&as_sdt=0,5 | 2 | 2,022 |
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing | 3 | eccv | 2 | 1 | 2023-06-17 00:57:24.614000 | https://github.com/kimren227/extrudenet | 18 | ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing | https://scholar.google.com/scholar?cluster=11236014877503461544&hl=en&as_sdt=0,5 | 2 | 2,022 |
CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement | 5 | eccv | 2 | 3 | 2023-06-17 00:57:24.816000 | https://github.com/thu-da-6d-pose-group/catre | 28 | CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement | https://scholar.google.com/scholar?cluster=17564435273715634496&hl=en&as_sdt=0,19 | 3 | 2,022 |
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