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Multi-View Depth Estimation by Fusing Single-View Depth Probability With Multi-View Geometry | 13 | cvpr | 13 | 7 | 2023-06-03 15:11:51.048000 | https://github.com/baegwangbin/magnet | 162 | Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry | https://scholar.google.com/scholar?cluster=1886059432415129607&hl=en&as_sdt=0,10 | 10 | 2,022 |
Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data | 27 | cvpr | 18 | 0 | 2023-06-03 15:11:51.241000 | https://github.com/valeoai/slidr | 116 | Image-to-lidar self-supervised distillation for autonomous driving data | https://scholar.google.com/scholar?cluster=7983433851687883883&hl=en&as_sdt=0,5 | 9 | 2,022 |
AlignQ: Alignment Quantization With ADMM-Based Correlation Preservation | 2 | cvpr | 0 | 2 | 2023-06-03 15:11:51.436000 | https://github.com/tinganchen/alignq | 7 | AlignQ: Alignment Quantization with ADMM-based Correlation Preservation | https://scholar.google.com/scholar?cluster=6551086000020541347&hl=en&as_sdt=0,10 | 2 | 2,022 |
SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization | 8 | cvpr | 0 | 3 | 2023-06-03 15:11:51.629000 | https://github.com/ychang686/scs-co | 15 | Scs-co: Self-consistent style contrastive learning for image harmonization | https://scholar.google.com/scholar?cluster=829043008214387637&hl=en&as_sdt=0,33 | 8 | 2,022 |
CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields | 122 | cvpr | 14 | 13 | 2023-06-03 15:11:51.823000 | https://github.com/cassiePython/CLIPNeRF | 215 | Clip-nerf: Text-and-image driven manipulation of neural radiance fields | https://scholar.google.com/scholar?cluster=4864817613756311341&hl=en&as_sdt=0,5 | 15 | 2,022 |
Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention | 5 | cvpr | 3 | 1 | 2023-06-03 15:11:52.016000 | https://github.com/yuyang0901/lavise | 14 | Explaining deep convolutional neural networks via latent visual-semantic filter attention | https://scholar.google.com/scholar?cluster=2638927577424870038&hl=en&as_sdt=0,44 | 2 | 2,022 |
Self-Distillation From the Last Mini-Batch for Consistency Regularization | 13 | cvpr | 4 | 2 | 2023-06-03 15:11:52.211000 | https://github.com/meta-knowledge-lab/dlb | 31 | Self-distillation from the last mini-batch for consistency regularization | https://scholar.google.com/scholar?cluster=4161549003342654024&hl=en&as_sdt=0,5 | 4 | 2,022 |
Homography Loss for Monocular 3D Object Detection | 13 | cvpr | 1 | 3 | 2023-06-03 15:11:52.405000 | https://github.com/gujiaqivadin/HomographyLoss | 48 | Homography loss for monocular 3d object detection | https://scholar.google.com/scholar?cluster=6731379779152512615&hl=en&as_sdt=0,5 | 9 | 2,022 |
Interactive Multi-Class Tiny-Object Detection | 7 | cvpr | 8 | 6 | 2023-06-03 15:11:52.599000 | https://github.com/chungyi347/interactive-multi-class-tiny-object-detection | 117 | Interactive Multi-Class Tiny-Object Detection | https://scholar.google.com/scholar?cluster=2359034833759547214&hl=en&as_sdt=0,33 | 3 | 2,022 |
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation | 5 | cvpr | 2 | 1 | 2023-06-03 15:11:52.793000 | https://github.com/robinwang1/art-point | 20 | Art-point: Improving rotation robustness of point cloud classifiers via adversarial rotation | https://scholar.google.com/scholar?cluster=8517568599940731232&hl=en&as_sdt=0,31 | 1 | 2,022 |
Stable Long-Term Recurrent Video Super-Resolution | 2 | cvpr | 1 | 0 | 2023-06-03 15:11:52.987000 | https://github.com/bjmch/MRVSR | 13 | Stable long-term recurrent video super-resolution | https://scholar.google.com/scholar?cluster=8822280917744930483&hl=en&as_sdt=0,5 | 1 | 2,022 |
Targeted Supervised Contrastive Learning for Long-Tailed Recognition | 60 | cvpr | 8 | 4 | 2023-06-03 15:11:53.180000 | https://github.com/lth14/targeted-supcon | 71 | Targeted supervised contrastive learning for long-tailed recognition | https://scholar.google.com/scholar?cluster=13733873656995544681&hl=en&as_sdt=0,33 | 1 | 2,022 |
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes | 16 | cvpr | 5 | 0 | 2023-06-03 15:11:53.374000 | https://github.com/brown-ivl/ConDor | 39 | Condor: Self-supervised canonicalization of 3d pose for partial shapes | https://scholar.google.com/scholar?cluster=17821245970665188554&hl=en&as_sdt=0,49 | 1 | 2,022 |
Balanced Contrastive Learning for Long-Tailed Visual Recognition | 36 | cvpr | 8 | 6 | 2023-06-03 15:11:53.568000 | https://github.com/flamiezhu/bcl | 60 | Balanced contrastive learning for long-tailed visual recognition | https://scholar.google.com/scholar?cluster=1251493437962452403&hl=en&as_sdt=0,23 | 2 | 2,022 |
Bandits for Structure Perturbation-Based Black-Box Attacks To Graph Neural Networks With Theoretical Guarantees | 2 | cvpr | 0 | 1 | 2023-06-03 15:11:53.762000 | https://github.com/metaoblivion/bandit_gnn_attack | 2 | Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees | https://scholar.google.com/scholar?cluster=9420293099745156582&hl=en&as_sdt=0,48 | 1 | 2,022 |
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network | 4 | cvpr | 5 | 1 | 2023-06-03 15:11:53.956000 | https://github.com/DIG-Beihang/PSN | 21 | Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network | https://scholar.google.com/scholar?cluster=8345745909201314754&hl=en&as_sdt=0,5 | 0 | 2,022 |
A Hybrid Quantum-Classical Algorithm for Robust Fitting | 11 | cvpr | 1 | 0 | 2023-06-03 15:11:54.149000 | https://github.com/dadung/hqc-robust-fitting | 4 | A hybrid quantum-classical algorithm for robust fitting | https://scholar.google.com/scholar?cluster=9615275407828505733&hl=en&as_sdt=0,26 | 1 | 2,022 |
Slimmable Domain Adaptation | 6 | cvpr | 1 | 0 | 2023-06-03 15:11:54.343000 | https://github.com/hik-lab/slimda | 4 | Slimmable domain adaptation | https://scholar.google.com/scholar?cluster=8676942822111500758&hl=en&as_sdt=0,5 | 1 | 2,022 |
Decoupling Makes Weakly Supervised Local Feature Better | 17 | cvpr | 3 | 0 | 2023-06-03 15:11:54.537000 | https://github.com/The-Learning-And-Vision-Atelier-LAVA/PoSFeat | 88 | Decoupling makes weakly supervised local feature better | https://scholar.google.com/scholar?cluster=17838776311448192851&hl=en&as_sdt=0,5 | 5 | 2,022 |
VisCUIT: Visual Auditor for Bias in CNN Image Classifier | 4 | cvpr | 0 | 0 | 2023-06-03 15:11:54.738000 | https://github.com/poloclub/viscuit | 6 | VisCUIT: Visual auditor for bias in CNN image classifier | https://scholar.google.com/scholar?cluster=2224841334807001363&hl=en&as_sdt=0,33 | 6 | 2,022 |
Human Instance Matting via Mutual Guidance and Multi-Instance Refinement | 4 | cvpr | 3 | 0 | 2023-06-03 15:11:54.932000 | https://github.com/nowsyn/instmatt | 62 | Human instance matting via mutual guidance and multi-instance refinement | https://scholar.google.com/scholar?cluster=7734851440095865996&hl=en&as_sdt=0,43 | 17 | 2,022 |
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow | 12 | cvpr | 3 | 1 | 2023-06-03 15:11:55.125000 | https://github.com/zihuazheng/dip | 33 | Dip: Deep inverse patchmatch for high-resolution optical flow | https://scholar.google.com/scholar?cluster=14772753701936328240&hl=en&as_sdt=0,31 | 13 | 2,022 |
A Unified Model for Line Projections in Catadioptric Cameras With Rotationally Symmetric Mirrors | 1 | cvpr | 0 | 0 | 2023-06-03 15:11:55.320000 | https://github.com/pmiraldo/line-projection-catadioptric | 0 | A Unified Model for Line Projections in Catadioptric Cameras with Rotationally Symmetric Mirrors | https://scholar.google.com/scholar?cluster=17611314101887791279&hl=en&as_sdt=0,26 | 1 | 2,022 |
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition | 19 | cvpr | 2 | 2 | 2023-06-03 15:11:55.513000 | https://github.com/uark-cviu/direcformer | 18 | Direcformer: A directed attention in transformer approach to robust action recognition | https://scholar.google.com/scholar?cluster=15291191071526338462&hl=en&as_sdt=0,41 | 1 | 2,022 |
SwinTextSpotter: Scene Text Spotting via Better Synergy Between Text Detection and Text Recognition | 25 | cvpr | 35 | 12 | 2023-06-03 15:11:55.708000 | https://github.com/mxin262/swintextspotter | 221 | Swintextspotter: Scene text spotting via better synergy between text detection and text recognition | https://scholar.google.com/scholar?cluster=6989674085539462525&hl=en&as_sdt=0,5 | 7 | 2,022 |
Few-Shot Object Detection With Fully Cross-Transformer | 44 | cvpr | 8 | 14 | 2023-06-03 15:11:55.902000 | https://github.com/guangxinghan/fct | 45 | Few-shot object detection with fully cross-transformer | https://scholar.google.com/scholar?cluster=2983619289198144662&hl=en&as_sdt=0,48 | 4 | 2,022 |
Video Frame Interpolation With Transformer | 32 | cvpr | 13 | 12 | 2023-06-03 15:11:56.097000 | https://github.com/dvlab-research/vfiformer | 90 | Video frame interpolation with transformer | https://scholar.google.com/scholar?cluster=17295051963064398777&hl=en&as_sdt=0,34 | 5 | 2,022 |
TCTrack: Temporal Contexts for Aerial Tracking | 40 | cvpr | 30 | 5 | 2023-06-03 15:11:56.298000 | https://github.com/vision4robotics/tctrack | 118 | TCTrack: Temporal contexts for aerial tracking | https://scholar.google.com/scholar?cluster=1435906032426961702&hl=en&as_sdt=0,14 | 2 | 2,022 |
iPLAN: Interactive and Procedural Layout Planning | 4 | cvpr | 3 | 1 | 2023-06-03 15:11:56.492000 | https://github.com/realcrane/iPLAN-Interactive-and-Procedural-Layout-Planning | 16 | iPLAN: interactive and procedural layout planning | https://scholar.google.com/scholar?cluster=2268894692471172520&hl=en&as_sdt=0,10 | 5 | 2,022 |
GAN-Supervised Dense Visual Alignment | 33 | cvpr | 118 | 6 | 2023-06-03 15:11:56.691000 | https://github.com/wpeebles/gangealing | 982 | Gan-supervised dense visual alignment | https://scholar.google.com/scholar?cluster=16638477680398641872&hl=en&as_sdt=0,5 | 16 | 2,022 |
GIFS: Neural Implicit Function for General Shape Representation | 15 | cvpr | 4 | 0 | 2023-06-03 15:11:56.886000 | https://github.com/jianglongye/gifs | 69 | GIFS: Neural implicit function for general shape representation | https://scholar.google.com/scholar?cluster=13905620613363965452&hl=en&as_sdt=0,33 | 6 | 2,022 |
PhysFormer: Facial Video-Based Physiological Measurement With Temporal Difference Transformer | 30 | cvpr | 7 | 3 | 2023-06-03 15:11:57.081000 | https://github.com/zitongyu/physformer | 65 | PhysFormer: facial video-based physiological measurement with temporal difference transformer | https://scholar.google.com/scholar?cluster=8053588590478703627&hl=en&as_sdt=0,44 | 6 | 2,022 |
Balanced MSE for Imbalanced Visual Regression | 23 | cvpr | 27 | 0 | 2023-06-03 15:11:57.292000 | https://github.com/jiawei-ren/BalancedMSE | 297 | Balanced mse for imbalanced visual regression | https://scholar.google.com/scholar?cluster=3746607576114564694&hl=en&as_sdt=0,5 | 8 | 2,022 |
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction | 3 | cvpr | 5 | 1 | 2023-06-03 15:11:57.487000 | https://github.com/leolyliu/HOI4D-Instructions | 25 | HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction | https://scholar.google.com/scholar?cluster=932811307134293169&hl=en&as_sdt=0,39 | 1 | 2,022 |
Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning | 22 | cvpr | 6 | 4 | 2023-06-03 15:11:57.681000 | https://github.com/mmendiet/fedalign | 37 | Local learning matters: Rethinking data heterogeneity in federated learning | https://scholar.google.com/scholar?cluster=17308444446907301376&hl=en&as_sdt=0,33 | 2 | 2,022 |
Collaborative Transformers for Grounded Situation Recognition | 5 | cvpr | 6 | 0 | 2023-06-03 15:11:57.876000 | https://github.com/jhcho99/coformer | 33 | Collaborative transformers for grounded situation recognition | https://scholar.google.com/scholar?cluster=4025222753784961174&hl=en&as_sdt=0,33 | 4 | 2,022 |
Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel | 8 | cvpr | 6 | 2 | 2023-06-03 15:11:58.071000 | https://github.com/zsyOAOA/BSRDM | 77 | Blind image super-resolution with elaborate degradation modeling on noise and kernel | https://scholar.google.com/scholar?cluster=8130499388651638958&hl=en&as_sdt=0,19 | 2 | 2,022 |
UnweaveNet: Unweaving Activity Stories | 4 | cvpr | 0 | 0 | 2023-06-03 15:11:58.270000 | https://github.com/willprice/activity-stories | 3 | UnweaveNet: Unweaving Activity Stories | https://scholar.google.com/scholar?cluster=11666756894901674634&hl=en&as_sdt=0,33 | 2 | 2,022 |
Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces From 3D MRI Scans With Geometric Deep Neural Networks | 6 | cvpr | 8 | 2 | 2023-06-03 15:11:58.472000 | https://github.com/ai-med/vox2cortex | 28 | Vox2cortex: fast explicit reconstruction of cortical surfaces from 3D MRI scans with geometric deep neural networks | https://scholar.google.com/scholar?cluster=16656997846799811932&hl=en&as_sdt=0,33 | 2 | 2,022 |
Progressive End-to-End Object Detection in Crowded Scenes | 19 | cvpr | 6 | 11 | 2023-06-03 15:11:58.666000 | https://github.com/megvii-model/iter-e2edet | 73 | Progressive end-to-end object detection in crowded scenes | https://scholar.google.com/scholar?cluster=17039945862035123188&hl=en&as_sdt=0,33 | 3 | 2,022 |
Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator | 10 | cvpr | 5 | 6 | 2023-06-03 15:11:58.861000 | https://github.com/kyxscut/CG-GAN | 65 | Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator | https://scholar.google.com/scholar?cluster=1654991629295666254&hl=en&as_sdt=0,33 | 4 | 2,022 |
ScanQA: 3D Question Answering for Spatial Scene Understanding | 16 | cvpr | 1 | 3 | 2023-06-03 15:11:59.055000 | https://github.com/atr-dbi/scanqa | 45 | ScanQA: 3D question answering for spatial scene understanding | https://scholar.google.com/scholar?cluster=13073090147692852508&hl=en&as_sdt=0,5 | 6 | 2,022 |
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images | 5 | cvpr | 0 | 0 | 2023-06-03 15:11:59.248000 | https://github.com/LZleejean/FutureHouse | 11 | Phyir: Physics-based inverse rendering for panoramic indoor images | https://scholar.google.com/scholar?cluster=9072496348607100712&hl=en&as_sdt=0,10 | 2 | 2,022 |
Class-Incremental Learning by Knowledge Distillation With Adaptive Feature Consolidation | 42 | cvpr | 2 | 2 | 2023-06-03 15:11:59.444000 | https://github.com/kminsoo/afc | 40 | Class-incremental learning by knowledge distillation with adaptive feature consolidation | https://scholar.google.com/scholar?cluster=5517490982946328291&hl=en&as_sdt=0,5 | 1 | 2,022 |
Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis | 2 | cvpr | 0 | 0 | 2023-06-03 15:11:59.639000 | https://github.com/autoswap/autoswap_cvpr_2022 | 0 | Automatic synthesis of diverse weak supervision sources for behavior analysis | https://scholar.google.com/scholar?cluster=8850774509311392995&hl=en&as_sdt=0,5 | 1 | 2,022 |
Beyond Fixation: Dynamic Window Visual Transformer | 10 | cvpr | 3 | 2 | 2023-06-03 15:11:59.833000 | https://github.com/pzhren/dw-vit | 22 | Beyond fixation: Dynamic window visual transformer | https://scholar.google.com/scholar?cluster=3432971989735915692&hl=en&as_sdt=0,5 | 1 | 2,022 |
No-Reference Point Cloud Quality Assessment via Domain Adaptation | 13 | cvpr | 2 | 0 | 2023-06-03 15:12:00.027000 | https://github.com/qi-yangsjtu/it-pcqa | 6 | No-reference point cloud quality assessment via domain adaptation | https://scholar.google.com/scholar?cluster=11704421630157221695&hl=en&as_sdt=0,22 | 3 | 2,022 |
DyRep: Bootstrapping Training With Dynamic Re-Parameterization | 11 | cvpr | 4 | 1 | 2023-06-03 15:12:00.221000 | https://github.com/hunto/dyrep | 36 | Dyrep: Bootstrapping training with dynamic re-parameterization | https://scholar.google.com/scholar?cluster=9004725926464672087&hl=en&as_sdt=0,23 | 2 | 2,022 |
Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations | 4 | cvpr | 1 | 5 | 2023-06-03 15:12:00.415000 | https://github.com/cszzx/grain | 11 | Faithful extreme rescaling via generative prior reciprocated invertible representations | https://scholar.google.com/scholar?cluster=14399422148181390780&hl=en&as_sdt=0,5 | 3 | 2,022 |
Bailando: 3D Dance Generation by Actor-Critic GPT With Choreographic Memory | 32 | cvpr | 51 | 23 | 2023-06-03 15:12:00.609000 | https://github.com/lisiyao21/bailando | 284 | Bailando: 3d dance generation by actor-critic gpt with choreographic memory | https://scholar.google.com/scholar?cluster=6112913323950957761&hl=en&as_sdt=0,31 | 13 | 2,022 |
Comprehending and Ordering Semantics for Image Captioning | 27 | cvpr | 118 | 9 | 2023-06-03 15:12:00.802000 | https://github.com/yehli/xmodaler | 961 | Comprehending and ordering semantics for image captioning | https://scholar.google.com/scholar?cluster=18418607301133785994&hl=en&as_sdt=0,44 | 35 | 2,022 |
CDGNet: Class Distribution Guided Network for Human Parsing | 10 | cvpr | 1 | 5 | 2023-06-03 15:12:00.996000 | https://github.com/tjpulkl/cdgnet | 22 | Cdgnet: Class distribution guided network for human parsing | https://scholar.google.com/scholar?cluster=1642651212496196669&hl=en&as_sdt=0,5 | 1 | 2,022 |
Proto2Proto: Can You Recognize the Car, the Way I Do? | 6 | cvpr | 1 | 3 | 2023-06-03 15:12:01.189000 | https://github.com/archmaester/proto2proto | 17 | Proto2Proto: Can you recognize the car, the way I do? | https://scholar.google.com/scholar?cluster=14652242116280681807&hl=en&as_sdt=0,5 | 4 | 2,022 |
A Large-Scale Comprehensive Dataset and Copy-Overlap Aware Evaluation Protocol for Segment-Level Video Copy Detection | 3 | cvpr | 13 | 6 | 2023-06-03 15:12:01.384000 | https://github.com/alipay/vcsl | 86 | A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection | https://scholar.google.com/scholar?cluster=3798718632373715926&hl=en&as_sdt=0,33 | 2 | 2,022 |
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution | 3 | cvpr | 3 | 2 | 2023-06-03 15:12:01.577000 | https://github.com/lonelyhope/dada | 17 | Dual adversarial adaptation for cross-device real-world image super-resolution | https://scholar.google.com/scholar?cluster=12585024585484187646&hl=en&as_sdt=0,48 | 3 | 2,022 |
TVConv: Efficient Translation Variant Convolution for Layout-Aware Visual Processing | 7 | cvpr | 5 | 3 | 2023-06-03 15:12:01.771000 | https://github.com/jierunchen/tvconv | 34 | Tvconv: Efficient translation variant convolution for layout-aware visual processing | https://scholar.google.com/scholar?cluster=17158794433146143278&hl=en&as_sdt=0,47 | 2 | 2,022 |
GaTector: A Unified Framework for Gaze Object Prediction | 8 | cvpr | 12 | 5 | 2023-06-03 15:12:01.965000 | https://github.com/CodeMonsterPHD/GaTector-A-Unified-Framework-for-Gaze-Object-Prediction | 62 | Gatector: A unified framework for gaze object prediction | https://scholar.google.com/scholar?cluster=14449412475373341664&hl=en&as_sdt=0,33 | 3 | 2,022 |
FS6D: Few-Shot 6D Pose Estimation of Novel Objects | 20 | cvpr | 0 | 8 | 2023-06-03 15:12:02.159000 | https://github.com/ethnhe/FS6D-PyTorch | 57 | FS6D: Few-shot 6D pose estimation of novel objects | https://scholar.google.com/scholar?cluster=3399054124824947985&hl=en&as_sdt=0,5 | 17 | 2,022 |
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-Based Visual Question Answering | 14 | cvpr | 15 | 13 | 2023-06-03 15:12:02.352000 | https://github.com/andersonstra/mukea | 68 | Mukea: Multimodal knowledge extraction and accumulation for knowledge-based visual question answering | https://scholar.google.com/scholar?cluster=3791605051552354810&hl=en&as_sdt=0,31 | 5 | 2,022 |
Reflection and Rotation Symmetry Detection via Equivariant Learning | 3 | cvpr | 2 | 0 | 2023-06-03 15:12:02.546000 | https://github.com/ahyunSeo/EquiSym | 13 | Reflection and Rotation Symmetry Detection via Equivariant Learning | https://scholar.google.com/scholar?cluster=14920322158551539092&hl=en&as_sdt=0,5 | 2 | 2,022 |
Simple but Effective: CLIP Embeddings for Embodied AI | 72 | cvpr | 10 | 0 | 2023-06-03 15:12:02.740000 | https://github.com/allenai/embodied-clip | 66 | Simple but effective: Clip embeddings for embodied ai | https://scholar.google.com/scholar?cluster=7221336460417039958&hl=en&as_sdt=0,5 | 6 | 2,022 |
HeadNeRF: A Real-Time NeRF-Based Parametric Head Model | 74 | cvpr | 41 | 13 | 2023-06-03 15:12:02.934000 | https://github.com/crishy1995/headnerf | 344 | Headnerf: A real-time nerf-based parametric head model | https://scholar.google.com/scholar?cluster=4600116112972239361&hl=en&as_sdt=0,10 | 20 | 2,022 |
CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild | 10 | cvpr | 8 | 0 | 2023-06-03 15:12:03.128000 | https://github.com/qq456cvb/cppf | 38 | Cppf: Towards robust category-level 9d pose estimation in the wild | https://scholar.google.com/scholar?cluster=16756938709076228236&hl=en&as_sdt=0,25 | 5 | 2,022 |
NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition | 6 | cvpr | 9 | 2 | 2023-06-03 15:12:03.328000 | https://github.com/tencentyouturesearch/visualrecognition-nommer | 23 | Nommer: Nominate synergistic context in vision transformer for visual recognition | https://scholar.google.com/scholar?cluster=1755354855617861897&hl=en&as_sdt=0,5 | 4 | 2,022 |
Interactive Disentanglement: Learning Concepts by Interacting With Their Prototype Representations | 9 | cvpr | 1 | 1 | 2023-06-03 15:12:03.522000 | https://github.com/ml-research/xiconceptlearning | 11 | Interactive disentanglement: Learning concepts by interacting with their prototype representations | https://scholar.google.com/scholar?cluster=10270028716607829754&hl=en&as_sdt=0,5 | 2 | 2,022 |
Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction | 229 | cvpr | 98 | 44 | 2023-06-03 15:12:03.716000 | https://github.com/sunset1995/directvoxgo | 858 | Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction | https://scholar.google.com/scholar?cluster=579849009103222086&hl=en&as_sdt=0,5 | 22 | 2,022 |
Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information | 11 | cvpr | 11 | 2 | 2023-06-03 15:12:03.911000 | https://github.com/ylingfeng/dynamicmlp | 72 | Dynamic mlp for fine-grained image classification by leveraging geographical and temporal information | https://scholar.google.com/scholar?cluster=16547765185441112176&hl=en&as_sdt=0,5 | 2 | 2,022 |
Learning Affinity From Attention: End-to-End Weakly-Supervised Semantic Segmentation With Transformers | 46 | cvpr | 24 | 12 | 2023-06-03 15:12:04.105000 | https://github.com/rulixiang/afa | 165 | Learning affinity from attention: end-to-end weakly-supervised semantic segmentation with transformers | https://scholar.google.com/scholar?cluster=6515573409385377039&hl=en&as_sdt=0,5 | 7 | 2,022 |
Continual Test-Time Domain Adaptation | 77 | cvpr | 18 | 3 | 2023-06-03 15:12:04.299000 | https://github.com/qinenergy/cotta | 126 | Continual test-time domain adaptation | https://scholar.google.com/scholar?cluster=4325500781447230872&hl=en&as_sdt=0,47 | 4 | 2,022 |
URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement | 55 | cvpr | 8 | 11 | 2023-06-03 15:12:04.494000 | https://github.com/andersonyong/uretinex-net | 92 | Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement | https://scholar.google.com/scholar?cluster=17361373328251331183&hl=en&as_sdt=0,5 | 1 | 2,022 |
Omnivore: A Single Model for Many Visual Modalities | 70 | cvpr | 34 | 4 | 2023-06-03 15:12:04.688000 | https://github.com/facebookresearch/omnivore | 493 | Omnivore: A single model for many visual modalities | https://scholar.google.com/scholar?cluster=7775892631592466813&hl=en&as_sdt=0,39 | 19 | 2,022 |
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection | 52 | cvpr | 46 | 16 | 2023-06-03 15:12:04.888000 | https://github.com/air-thu/dair-v2x | 249 | Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection | https://scholar.google.com/scholar?cluster=8270292026134965075&hl=en&as_sdt=0,22 | 16 | 2,022 |
FvOR: Robust Joint Shape and Pose Optimization for Few-View Object Reconstruction | 4 | cvpr | 0 | 6 | 2023-06-03 15:12:05.082000 | https://github.com/zhenpeiyang/fvor | 47 | Fvor: Robust joint shape and pose optimization for few-view object reconstruction | https://scholar.google.com/scholar?cluster=7729610362589957780&hl=en&as_sdt=0,5 | 5 | 2,022 |
Fair Contrastive Learning for Facial Attribute Classification | 15 | cvpr | 1 | 4 | 2023-06-03 15:12:05.276000 | https://github.com/sungho-coolg/fscl | 29 | Fair contrastive learning for facial attribute classification | https://scholar.google.com/scholar?cluster=14869759203355701449&hl=en&as_sdt=0,43 | 3 | 2,022 |
Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer | 5 | cvpr | 6 | 4 | 2023-06-03 15:12:05.473000 | https://github.com/megvii-research/portraits_correction | 24 | Semi-supervised wide-angle portraits correction by multi-scale transformer | https://scholar.google.com/scholar?cluster=9231394585762666093&hl=en&as_sdt=0,5 | 9 | 2,022 |
IDR: Self-Supervised Image Denoising via Iterative Data Refinement | 20 | cvpr | 9 | 4 | 2023-06-03 15:12:05.666000 | https://github.com/zhangyi-3/idr | 92 | Idr: Self-supervised image denoising via iterative data refinement | https://scholar.google.com/scholar?cluster=12367270937320830051&hl=en&as_sdt=0,33 | 2 | 2,022 |
Is Mapping Necessary for Realistic PointGoal Navigation? | 12 | cvpr | 1 | 1 | 2023-06-03 15:12:05.864000 | https://github.com/rpartsey/pointgoal-navigation | 26 | Is Mapping Necessary for Realistic PointGoal Navigation? | https://scholar.google.com/scholar?cluster=10798037831721761839&hl=en&as_sdt=0,18 | 5 | 2,022 |
CSWin Transformer: A General Vision Transformer Backbone With Cross-Shaped Windows | 370 | cvpr | 70 | 29 | 2023-06-03 15:12:06.058000 | https://github.com/microsoft/CSWin-Transformer | 444 | Cswin transformer: A general vision transformer backbone with cross-shaped windows | https://scholar.google.com/scholar?cluster=4431453089685809340&hl=en&as_sdt=0,31 | 14 | 2,022 |
Node-Aligned Graph Convolutional Network for Whole-Slide Image Representation and Classification | 15 | cvpr | 4 | 3 | 2023-06-03 15:12:06.252000 | https://github.com/yohnguan/nagcn | 13 | Node-aligned graph convolutional network for whole-slide image representation and classification | https://scholar.google.com/scholar?cluster=1360362531401615377&hl=en&as_sdt=0,44 | 2 | 2,022 |
Generating Representative Samples for Few-Shot Classification | 12 | cvpr | 4 | 4 | 2023-06-03 15:12:06.447000 | https://github.com/cvlab-stonybrook/fsl-rsvae | 22 | Generating representative samples for few-shot classification | https://scholar.google.com/scholar?cluster=7637142350361596542&hl=en&as_sdt=0,23 | 5 | 2,022 |
Reduce Information Loss in Transformers for Pluralistic Image Inpainting | 18 | cvpr | 10 | 12 | 2023-06-03 15:12:06.641000 | https://github.com/liuqk3/put | 121 | Reduce information loss in transformers for pluralistic image inpainting | https://scholar.google.com/scholar?cluster=11378273171717273533&hl=en&as_sdt=0,33 | 6 | 2,022 |
FaceVerse: A Fine-Grained and Detail-Controllable 3D Face Morphable Model From a Hybrid Dataset | 21 | cvpr | 34 | 19 | 2023-06-03 15:12:06.835000 | https://github.com/lizhenwangt/faceverse | 282 | Faceverse: a fine-grained and detail-controllable 3d face morphable model from a hybrid dataset | https://scholar.google.com/scholar?cluster=5396647356780098251&hl=en&as_sdt=0,33 | 20 | 2,022 |
Learning To Detect Mobile Objects From LiDAR Scans Without Labels | 6 | cvpr | 11 | 0 | 2023-06-03 15:12:07.030000 | https://github.com/yurongyou/modest | 67 | Learning to detect mobile objects from LiDAR scans without labels | https://scholar.google.com/scholar?cluster=16603727928145793930&hl=en&as_sdt=0,5 | 4 | 2,022 |
Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture | 9 | cvpr | 0 | 0 | 2023-06-03 15:12:07.232000 | https://github.com/zhuccly/glomface-face-alignment | 4 | Occlusion-robust face alignment using a viewpoint-invariant hierarchical network architecture | https://scholar.google.com/scholar?cluster=4101505147024090904&hl=en&as_sdt=0,33 | 1 | 2,022 |
Look Back and Forth: Video Super-Resolution With Explicit Temporal Difference Modeling | 13 | cvpr | 2 | 5 | 2023-06-03 15:12:07.426000 | https://github.com/junpan19/ETDM | 21 | Look back and forth: video super-resolution with explicit temporal difference modeling | https://scholar.google.com/scholar?cluster=5067571171321230160&hl=en&as_sdt=0,22 | 1 | 2,022 |
BasicVSR++: Improving Video Super-Resolution With Enhanced Propagation and Alignment | 157 | cvpr | 831 | 47 | 2023-06-03 15:12:07.620000 | https://github.com/open-mmlab/mmediting | 4,831 | BasicVSR++: Improving video super-resolution with enhanced propagation and alignment | https://scholar.google.com/scholar?cluster=5012395728633702594&hl=en&as_sdt=0,5 | 93 | 2,022 |
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration | 13 | cvpr | 5 | 0 | 2023-06-03 15:12:07.814000 | https://github.com/mdca-loss/mdca-calibration | 23 | A stitch in time saves nine: A train-time regularizing loss for improved neural network calibration | https://scholar.google.com/scholar?cluster=7650029386959535850&hl=en&as_sdt=0,43 | 1 | 2,022 |
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection | 17 | cvpr | 4 | 4 | 2023-06-03 15:12:08.009000 | https://github.com/lianqing11/monojsg | 26 | Monojsg: Joint semantic and geometric cost volume for monocular 3d object detection | https://scholar.google.com/scholar?cluster=883360811947562124&hl=en&as_sdt=0,36 | 8 | 2,022 |
Efficient Classification of Very Large Images With Tiny Objects | 13 | cvpr | 8 | 2 | 2023-06-03 15:12:08.202000 | https://github.com/timqqt/pytorch-zoom-in-network | 14 | Efficient classification of very large images with tiny objects | https://scholar.google.com/scholar?cluster=3901059019264442877&hl=en&as_sdt=0,38 | 2 | 2,022 |
EnvEdit: Environment Editing for Vision-and-Language Navigation | 23 | cvpr | 1 | 3 | 2023-06-03 15:12:08.396000 | https://github.com/jialuli-luka/envedit | 25 | Envedit: Environment editing for vision-and-language navigation | https://scholar.google.com/scholar?cluster=18427906199760934116&hl=en&as_sdt=0,33 | 1 | 2,022 |
SWEM: Towards Real-Time Video Object Segmentation With Sequential Weighted Expectation-Maximization | 13 | cvpr | 5 | 1 | 2023-06-03 15:12:08.591000 | https://github.com/lmm077/SWEM | 22 | SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization | https://scholar.google.com/scholar?cluster=2748681599667255123&hl=en&as_sdt=0,5 | 1 | 2,022 |
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation | 18 | cvpr | 16 | 0 | 2023-06-03 15:12:08.785000 | https://github.com/mcg-nju/camliflow | 169 | Camliflow: bidirectional camera-lidar fusion for joint optical flow and scene flow estimation | https://scholar.google.com/scholar?cluster=5956757280702342234&hl=en&as_sdt=0,29 | 6 | 2,022 |
Generating Diverse 3D Reconstructions From a Single Occluded Face Image | 1 | cvpr | 1 | 1 | 2023-06-03 15:12:08.979000 | https://github.com/human-analysis/diverse3dface | 13 | Generating Diverse 3D Reconstructions from a Single Occluded Face Image | https://scholar.google.com/scholar?cluster=9546018249568825792&hl=en&as_sdt=0,5 | 5 | 2,022 |
BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume Fusion | 7 | cvpr | 16 | 2 | 2023-06-03 15:12:09.173000 | https://github.com/likojack/bnv_fusion | 119 | Bnv-fusion: dense 3D reconstruction using bi-level neural volume fusion | https://scholar.google.com/scholar?cluster=14606313558077227641&hl=en&as_sdt=0,44 | 6 | 2,022 |
RBGNet: Ray-Based Grouping for 3D Object Detection | 24 | cvpr | 2 | 0 | 2023-06-03 15:12:09.367000 | https://github.com/haiyang-w/rbgnet | 30 | Rbgnet: Ray-based grouping for 3d object detection | https://scholar.google.com/scholar?cluster=8309048489827668417&hl=en&as_sdt=0,5 | 2 | 2,022 |
Context-Aware Video Reconstruction for Rolling Shutter Cameras | 5 | cvpr | 4 | 1 | 2023-06-03 15:12:09.561000 | https://github.com/gitcvfb/cvr | 28 | Context-Aware Video Reconstruction for Rolling Shutter Cameras | https://scholar.google.com/scholar?cluster=8427580102771448979&hl=en&as_sdt=0,14 | 1 | 2,022 |
Stand-Alone Inter-Frame Attention in Video Models | 22 | cvpr | 0 | 6 | 2023-06-03 15:12:09.755000 | https://github.com/fuchenustc/sifa | 26 | Stand-alone inter-frame attention in video models | https://scholar.google.com/scholar?cluster=18361346800836500084&hl=en&as_sdt=0,31 | 2 | 2,022 |
WildNet: Learning Domain Generalized Semantic Segmentation From the Wild | 21 | cvpr | 5 | 2 | 2023-06-03 15:12:09.949000 | https://github.com/suhyeonlee/wildnet | 43 | WildNet: Learning domain generalized semantic segmentation from the wild | https://scholar.google.com/scholar?cluster=6566806038357537625&hl=en&as_sdt=0,39 | 5 | 2,022 |
Masked Feature Prediction for Self-Supervised Visual Pre-Training | 261 | cvpr | 1,143 | 348 | 2023-06-03 15:12:10.144000 | https://github.com/facebookresearch/SlowFast | 5,685 | Masked feature prediction for self-supervised visual pre-training | https://scholar.google.com/scholar?cluster=12617218192144474322&hl=en&as_sdt=0,5 | 97 | 2,022 |
Robust Contrastive Learning Against Noisy Views | 29 | cvpr | 7 | 3 | 2023-06-03 15:12:10.337000 | https://github.com/chingyaoc/rince | 60 | Robust contrastive learning against noisy views | https://scholar.google.com/scholar?cluster=10458213393879693296&hl=en&as_sdt=0,5 | 3 | 2,022 |
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