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Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap | 3 | eccv | 2 | 0 | 2023-06-17 00:59:52.559000 | https://github.com/gorilla-lab-scut/qs3 | 10 | Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap | https://scholar.google.com/scholar?cluster=5597206378696973800&hl=en&as_sdt=0,5 | 0 | 2,022 |
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation | 4 | eccv | 0 | 1 | 2023-06-17 00:59:52.772000 | https://github.com/ETHRuiGong/TADA | 9 | TACS: Taxonomy adaptive cross-domain semantic segmentation | https://scholar.google.com/scholar?cluster=9748486556084036411&hl=en&as_sdt=0,10 | 1 | 2,022 |
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation | 23 | eccv | 5 | 1 | 2023-06-17 00:59:52.991000 | https://github.com/jiangzhengkai/proca | 36 | Prototypical contrast adaptation for domain adaptive semantic segmentation | https://scholar.google.com/scholar?cluster=18247261042350694594&hl=en&as_sdt=0,5 | 2 | 2,022 |
Factorizing Knowledge in Neural Networks | 43 | eccv | 4 | 2 | 2023-06-17 00:59:53.219000 | https://github.com/adamdad/knowledgefactor | 66 | Factorizing knowledge in neural networks | https://scholar.google.com/scholar?cluster=10840229611357646465&hl=en&as_sdt=0,11 | 1 | 2,022 |
Contrastive Vicinal Space for Unsupervised Domain Adaptation | 6 | eccv | 2 | 3 | 2023-06-17 00:59:53.431000 | https://github.com/najaemin92/covi | 7 | Contrastive vicinal space for unsupervised domain adaptation | https://scholar.google.com/scholar?cluster=11822924811808351967&hl=en&as_sdt=0,19 | 1 | 2,022 |
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions | 4 | eccv | 1 | 2 | 2023-06-17 00:59:53.643000 | https://github.com/theo2021/onda | 21 | Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions | https://scholar.google.com/scholar?cluster=13123083871593814171&hl=en&as_sdt=0,5 | 5 | 2,022 |
Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition | 12 | eccv | 2 | 0 | 2023-06-17 00:59:53.856000 | https://github.com/xuyu0010/atcon | 16 | Source-free video domain adaptation by learning temporal consistency for action recognition | https://scholar.google.com/scholar?cluster=16148930639028163885&hl=en&as_sdt=0,5 | 2 | 2,022 |
BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation | 14 | eccv | 0 | 0 | 2023-06-17 00:59:54.068000 | https://github.com/ispc-lab/bmd | 21 | BMD: A general class-balanced multicentric dynamic prototype strategy for source-free domain adaptation | https://scholar.google.com/scholar?cluster=14638148510749193557&hl=en&as_sdt=0,33 | 1 | 2,022 |
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks | 6 | eccv | 2 | 4 | 2023-06-17 00:59:54.281000 | https://github.com/google-research/pactran_metrics | 13 | PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks | https://scholar.google.com/scholar?cluster=12501188496378767771&hl=en&as_sdt=0,5 | 2 | 2,022 |
Not All Models Are Equal: Predicting Model Transferability in a Self-Challenging Fisher Space | 1 | eccv | 0 | 4 | 2023-06-17 00:59:54.493000 | https://github.com/tencentarc/sfda | 17 | Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space | https://scholar.google.com/scholar?cluster=5216001205389522548&hl=en&as_sdt=0,5 | 2 | 2,022 |
Attention Diversification for Domain Generalization | 10 | eccv | 4 | 0 | 2023-06-17 00:59:54.705000 | https://github.com/hikvision-research/domaingeneralization | 35 | Attention diversification for domain generalization | https://scholar.google.com/scholar?cluster=10487515382646340469&hl=en&as_sdt=0,10 | 5 | 2,022 |
ESS: Learning Event-Based Semantic Segmentation from Still Images | 19 | eccv | 7 | 3 | 2023-06-17 00:59:54.917000 | https://github.com/uzh-rpg/ess | 47 | Ess: Learning event-based semantic segmentation from still images | https://scholar.google.com/scholar?cluster=4136513580895924966&hl=en&as_sdt=0,5 | 6 | 2,022 |
Human Trajectory Prediction via Neural Social Physics | 13 | eccv | 13 | 12 | 2023-06-17 00:59:55.130000 | https://github.com/realcrane/human-trajectory-prediction-via-neural-social-physics | 69 | Human trajectory prediction via neural social physics | https://scholar.google.com/scholar?cluster=890292311615588687&hl=en&as_sdt=0,5 | 4 | 2,022 |
ECLIPSE: Efficient Long-Range Video Retrieval Using Sight and Sound | 11 | eccv | 6 | 2 | 2023-06-17 00:59:55.343000 | https://github.com/GenjiB/ECLIPSE | 21 | EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound | https://scholar.google.com/scholar?cluster=13579006365454724438&hl=en&as_sdt=0,5 | 1 | 2,022 |
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing | 7 | eccv | 2 | 1 | 2023-06-17 00:59:55.556000 | https://github.com/mcg-nju/jomold | 25 | Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing | https://scholar.google.com/scholar?cluster=12645873220814826202&hl=en&as_sdt=0,5 | 2 | 2,022 |
Real-Time Online Video Detection with Temporal Smoothing Transformers | 2 | eccv | 4 | 3 | 2023-06-17 00:59:55.770000 | https://github.com/zhaoyue-zephyrus/testra | 70 | Real-Time Online Video Detection with Temporal Smoothing Transformers | https://scholar.google.com/scholar?cluster=18281896572010683419&hl=en&as_sdt=0,10 | 2 | 2,022 |
TALLFormer: Temporal Action Localization with a Long-Memory Transformer | 20 | eccv | 2 | 8 | 2023-06-17 00:59:55.982000 | https://github.com/klauscc/tallformer | 39 | TallFormer: Temporal Action Localization with a Long-Memory Transformer | https://scholar.google.com/scholar?cluster=15017107856472045012&hl=en&as_sdt=0,28 | 3 | 2,022 |
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation | 5 | eccv | 4 | 1 | 2023-06-17 00:59:56.219000 | https://github.com/guoleisun/vss-mrcfa | 21 | Mining Relations Among Cross-Frame Affinities for Video Semantic Segmentation | https://scholar.google.com/scholar?cluster=13563533975816670492&hl=en&as_sdt=0,31 | 1 | 2,022 |
Rethinking Learning Approaches for Long-Term Action Anticipation | 3 | eccv | 1 | 0 | 2023-06-17 00:59:56.431000 | https://github.com/nmegha2601/anticipatr | 7 | Rethinking Learning Approaches for Long-Term Action Anticipation | https://scholar.google.com/scholar?cluster=9860931350837211383&hl=en&as_sdt=0,5 | 3 | 2,022 |
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition | 8 | eccv | 3 | 2 | 2023-06-17 00:59:56.644000 | https://github.com/sail-sg/dualformer | 23 | Dualformer: Local-global stratified transformer for efficient video recognition | https://scholar.google.com/scholar?cluster=5432221077116828342&hl=en&as_sdt=0,5 | 3 | 2,022 |
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation | 17 | eccv | 1 | 9 | 2023-06-17 00:59:56.856000 | https://github.com/NUST-Machine-Intelligence-Laboratory/HFAN | 20 | Hierarchical feature alignment network for unsupervised video object segmentation | https://scholar.google.com/scholar?cluster=9672488249865839397&hl=en&as_sdt=0,33 | 1 | 2,022 |
How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning? | 4 | eccv | 2 | 0 | 2023-06-17 00:59:57.068000 | https://github.com/fmthoker/severe-benchmark | 18 | How Severe Is Benchmark-Sensitivity in Video Self-supervised Learning? | https://scholar.google.com/scholar?cluster=17663216619245090292&hl=en&as_sdt=0,16 | 2 | 2,022 |
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation | 9 | eccv | 6 | 0 | 2023-06-17 00:59:57.281000 | https://github.com/boschresearch/uvast | 19 | Unified fully and timestamp supervised temporal action segmentation via sequence to sequence translation | https://scholar.google.com/scholar?cluster=11800477731611681372&hl=en&as_sdt=0,47 | 6 | 2,022 |
Efficient Video Transformers with Spatial-Temporal Token Selection | 19 | eccv | 3 | 2 | 2023-06-17 00:59:57.493000 | https://github.com/wangjk666/stts | 26 | Efficient video transformers with spatial-temporal token selection | https://scholar.google.com/scholar?cluster=2538914770043000786&hl=en&as_sdt=0,33 | 3 | 2,022 |
Long Movie Clip Classification with State-Space Video Models | 16 | eccv | 2 | 6 | 2023-06-17 00:59:57.705000 | https://github.com/md-mohaiminul/ViS4mer | 32 | Long movie clip classification with state-space video models | https://scholar.google.com/scholar?cluster=6503165072649077877&hl=en&as_sdt=0,5 | 1 | 2,022 |
Prompting Visual-Language Models for Efficient Video Understanding | 93 | eccv | 6 | 4 | 2023-06-17 00:59:57.919000 | https://github.com/ju-chen/Efficient-Prompt | 143 | Prompting visual-language models for efficient video understanding | https://scholar.google.com/scholar?cluster=267484077532007560&hl=en&as_sdt=0,5 | 12 | 2,022 |
Self-Supervised Social Relation Representation for Human Group Detection | 1 | eccv | 0 | 0 | 2023-06-17 00:59:58.132000 | https://github.com/jiaoma/shgd | 3 | Self-supervised Social Relation Representation for Human Group Detection | https://scholar.google.com/scholar?cluster=14185808079610011178&hl=en&as_sdt=0,47 | 1 | 2,022 |
A Deep Moving-Camera Background Model | 0 | eccv | 5 | 1 | 2023-06-17 00:59:58.344000 | https://github.com/bgu-cs-vil/deepmcbm | 34 | A Deep Moving-Camera Background Model | https://scholar.google.com/scholar?cluster=14745114131372795526&hl=en&as_sdt=0,5 | 6 | 2,022 |
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning | 8 | eccv | 15 | 0 | 2023-06-17 00:59:58.556000 | https://github.com/MTLab/MorphMLP | 160 | MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning | https://scholar.google.com/scholar?cluster=15037267593155101529&hl=en&as_sdt=0,5 | 11 | 2,022 |
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality | 3 | eccv | 3 | 0 | 2023-06-17 00:59:58.769000 | https://github.com/hongluzhou/composer | 17 | COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality | https://scholar.google.com/scholar?cluster=3314305974342041018&hl=en&as_sdt=0,5 | 2 | 2,022 |
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context | 3 | eccv | 2 | 0 | 2023-06-17 00:59:58.980000 | https://github.com/kyleleey/e-nerv | 21 | E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context | https://scholar.google.com/scholar?cluster=18039152217323552651&hl=en&as_sdt=0,39 | 2 | 2,022 |
Semi-Supervised Learning of Optical Flow by Flow Supervisor | 3 | eccv | 1 | 0 | 2023-06-17 00:59:59.218000 | https://github.com/iwbn/flow-supervisor | 17 | Semi-Supervised Learning of Optical Flow by Flow Supervisor | https://scholar.google.com/scholar?cluster=14986476376893472089&hl=en&as_sdt=0,43 | 3 | 2,022 |
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos | 1 | eccv | 1 | 1 | 2023-06-17 00:59:59.431000 | https://github.com/amazon-science/self-supervised-maclr | 9 | MaCLR: Motion-Aware Contrastive Learning of Representations for Videos | https://scholar.google.com/scholar?cluster=8456383965807435758&hl=en&as_sdt=0,29 | 10 | 2,022 |
Frozen CLIP Models Are Efficient Video Learners | 34 | eccv | 13 | 18 | 2023-06-17 00:59:59.644000 | https://github.com/opengvlab/efficient-video-recognition | 120 | Frozen clip models are efficient video learners | https://scholar.google.com/scholar?cluster=16057670792750577500&hl=en&as_sdt=0,5 | 5 | 2,022 |
Panoramic Vision Transformer for Saliency Detection in 360° Videos | 4 | eccv | 3 | 2 | 2023-06-17 00:59:59.857000 | https://github.com/hs-yn/paver | 15 | Panoramic Vision Transformer for Saliency Detection in 360 Videos | https://scholar.google.com/scholar?cluster=3748316331390349636&hl=en&as_sdt=0,10 | 2 | 2,022 |
Dynamic Temporal Filtering In Video Models | 10 | eccv | 0 | 1 | 2023-06-17 01:00:00.079000 | https://github.com/fuchenustc/dtf | 12 | Dynamic temporal filtering in video models | https://scholar.google.com/scholar?cluster=17477329483444141468&hl=en&as_sdt=0,5 | 2 | 2,022 |
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification | 30 | eccv | 24 | 10 | 2023-06-17 01:00:00.320000 | https://github.com/gaopengcuhk/tip-adapter | 283 | Tip-adapter: Training-free adaption of clip for few-shot classification | https://scholar.google.com/scholar?cluster=3256821949763414308&hl=en&as_sdt=0,5 | 6 | 2,022 |
Temporal Lift Pooling for Continuous Sign Language Recognition | 8 | eccv | 2 | 2 | 2023-06-17 01:00:00.551000 | https://github.com/hulianyuyy/Temporal-Lift-Pooling | 12 | Temporal lift pooling for continuous sign language recognition | https://scholar.google.com/scholar?cluster=16069408502002596313&hl=en&as_sdt=0,39 | 1 | 2,022 |
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes | 9 | eccv | 3 | 0 | 2023-06-17 01:00:00.767000 | https://github.com/SxJyJay/MORE | 13 | More: Multi-order relation mining for dense captioning in 3d scenes | https://scholar.google.com/scholar?cluster=1604636413258715927&hl=en&as_sdt=0,5 | 1 | 2,022 |
SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding | 5 | eccv | 0 | 1 | 2023-06-17 01:00:00.981000 | https://github.com/qumengxue/siri-vg | 4 | SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding | https://scholar.google.com/scholar?cluster=11705649752847714960&hl=en&as_sdt=0,5 | 1 | 2,022 |
Cross-Modal Prototype Driven Network for Radiology Report Generation | 7 | eccv | 4 | 6 | 2023-06-17 01:00:01.207000 | https://github.com/markin-wang/xpronet | 29 | Cross-modal prototype driven network for radiology report generation | https://scholar.google.com/scholar?cluster=886158982898018569&hl=en&as_sdt=0,10 | 1 | 2,022 |
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts | 15 | eccv | 8 | 2 | 2023-06-17 01:00:01.421000 | https://github.com/EricGuo5513/TM2T | 54 | Tm2t: Stochastic and tokenized modeling for the reciprocal generation of 3d human motions and texts | https://scholar.google.com/scholar?cluster=240678341877763939&hl=en&as_sdt=0,47 | 4 | 2,022 |
SeqTR: A Simple Yet Universal Network for Visual Grounding | 21 | eccv | 8 | 9 | 2023-06-17 01:00:01.634000 | https://github.com/sean-zhuh/seqtr | 98 | Seqtr: A simple yet universal network for visual grounding | https://scholar.google.com/scholar?cluster=16625342362223559486&hl=en&as_sdt=0,31 | 2 | 2,022 |
FashionViL: Fashion-Focused Vision-and-Language Representation Learning | 13 | eccv | 5 | 2 | 2023-06-17 01:00:01.848000 | https://github.com/brandonhanx/mmf | 45 | FashionViL: Fashion-Focused Vision-and-Language Representation Learning | https://scholar.google.com/scholar?cluster=5484876750844369889&hl=en&as_sdt=0,43 | 4 | 2,022 |
Weakly Supervised Grounding for VQA in Vision-Language Transformers | 0 | eccv | 2 | 1 | 2023-06-17 01:00:02.061000 | https://github.com/aurooj/wsg-vqa-vltransformers | 13 | Weakly Supervised Grounding for VQA in Vision-Language Transformers | https://scholar.google.com/scholar?cluster=2769282884337170315&hl=en&as_sdt=0,5 | 2 | 2,022 |
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval | 18 | eccv | 15 | 9 | 2023-06-17 01:00:02.274000 | https://github.com/tencentarc/mcq | 115 | Miles: visual bert pre-training with injected language semantics for video-text retrieval | https://scholar.google.com/scholar?cluster=11340027733286940492&hl=en&as_sdt=0,5 | 4 | 2,022 |
Video Graph Transformer for Video Question Answering | 12 | eccv | 9 | 1 | 2023-06-17 01:00:02.496000 | https://github.com/sail-sg/vgt | 32 | Video graph transformer for video question answering | https://scholar.google.com/scholar?cluster=11691195303287369728&hl=en&as_sdt=0,5 | 4 | 2,022 |
Rethinking Data Augmentation for Robust Visual Question Answering | 12 | eccv | 0 | 2 | 2023-06-17 01:00:02.714000 | https://github.com/itemzheng/kddaug | 9 | Rethinking data augmentation for robust visual question answering | https://scholar.google.com/scholar?cluster=447635406700735492&hl=en&as_sdt=0,10 | 2 | 2,022 |
Explicit Image Caption Editing | 6 | eccv | 1 | 1 | 2023-06-17 01:00:02.940000 | https://github.com/baaaad/ece | 18 | Explicit Image Caption Editing | https://scholar.google.com/scholar?cluster=689303873355435212&hl=en&as_sdt=0,5 | 1 | 2,022 |
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding | 5 | eccv | 4 | 0 | 2023-06-17 01:00:03.158000 | https://github.com/haojc/shufflingvideosfortsg | 25 | Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding | https://scholar.google.com/scholar?cluster=2849764449511253740&hl=en&as_sdt=0,33 | 2 | 2,022 |
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly | 9 | eccv | 5 | 0 | 2023-06-17 01:00:03.372000 | https://github.com/facebookresearch/reliable_vqa | 24 | Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly | https://scholar.google.com/scholar?cluster=15896341822502397294&hl=en&as_sdt=0,5 | 7 | 2,022 |
GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features | 26 | eccv | 15 | 7 | 2023-06-17 01:00:03.585000 | https://github.com/davidnvq/grit | 127 | Grit: Faster and better image captioning transformer using dual visual features | https://scholar.google.com/scholar?cluster=7449981441263246501&hl=en&as_sdt=0,5 | 3 | 2,022 |
Object-Centric Unsupervised Image Captioning | 4 | eccv | 2 | 2 | 2023-06-17 01:00:03.798000 | https://github.com/zihangm/obj-centric-unsup-caption | 8 | Object-Centric Unsupervised Image Captioning | https://scholar.google.com/scholar?cluster=13124646174189532262&hl=en&as_sdt=0,44 | 1 | 2,022 |
Contrastive Vision-Language Pre-training with Limited Resources | 6 | eccv | 4 | 4 | 2023-06-17 01:00:04.021000 | https://github.com/zerovl/zerovl | 35 | Contrastive Vision-Language Pre-training with Limited Resources | https://scholar.google.com/scholar?cluster=13621146277573179415&hl=en&as_sdt=0,33 | 3 | 2,022 |
Word-Level Fine-Grained Story Visualization | 5 | eccv | 0 | 1 | 2023-06-17 01:00:04.240000 | https://github.com/mrlibw/word-level-story-visualization | 7 | Word-Level Fine-Grained Story Visualization | https://scholar.google.com/scholar?cluster=8337966701810762036&hl=en&as_sdt=0,21 | 4 | 2,022 |
Unifying Event Detection and Captioning as Sequence Generation via Pre-training | 5 | eccv | 2 | 2 | 2023-06-17 01:00:04.453000 | https://github.com/qiqang/uedvc | 6 | Unifying Event Detection and Captioning as Sequence Generation via Pre-training | https://scholar.google.com/scholar?cluster=11398121099079320213&hl=en&as_sdt=0,14 | 1 | 2,022 |
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation | 10 | eccv | 0 | 0 | 2023-06-17 01:00:04.666000 | https://github.com/clin1223/mtvm | 17 | Multimodal transformer with variable-length memory for vision-and-language navigation | https://scholar.google.com/scholar?cluster=15245768438884240344&hl=en&as_sdt=0,7 | 1 | 2,022 |
Fine-Grained Visual Entailment | 0 | eccv | 0 | 0 | 2023-06-17 01:00:04.879000 | https://github.com/skrighyz/fgve | 11 | Fine-Grained Visual Entailment | https://scholar.google.com/scholar?cluster=16304184403087727361&hl=en&as_sdt=0,5 | 2 | 2,022 |
Bottom Up Top down Detection Transformers for Language Grounding in Images and Point Clouds | 11 | eccv | 7 | 1 | 2023-06-17 01:00:05.093000 | https://github.com/nickgkan/butd_detr | 51 | Bottom up top down detection transformers for language grounding in images and point clouds | https://scholar.google.com/scholar?cluster=5975344897755588707&hl=en&as_sdt=0,5 | 6 | 2,022 |
Classification-Regression for Chart Comprehension | 7 | eccv | 4 | 1 | 2023-06-17 01:00:05.306000 | https://github.com/levymsn/cqa-crct | 24 | Classification-regression for chart comprehension | https://scholar.google.com/scholar?cluster=1700240396983610337&hl=en&as_sdt=0,47 | 2 | 2,022 |
AssistQ: Affordance-Centric Question-Driven Task Completion for Egocentric Assistant | 8 | eccv | 5 | 1 | 2023-06-17 01:00:05.520000 | https://github.com/showlab/Q2A | 17 | Assistq: Affordance-centric question-driven task completion for egocentric assistant | https://scholar.google.com/scholar?cluster=7734678808440074882&hl=en&as_sdt=0,31 | 3 | 2,022 |
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling | 25 | eccv | 5 | 4 | 2023-06-17 01:00:05.734000 | https://github.com/microsoft/UniTAB | 68 | Unitab: Unifying text and box outputs for grounded vision-language modeling | https://scholar.google.com/scholar?cluster=4803373243514933274&hl=en&as_sdt=0,5 | 5 | 2,022 |
Speaker-Adaptive Lip Reading with User-Dependent Padding | 5 | eccv | 0 | 0 | 2023-06-17 01:00:05.952000 | https://github.com/ms-dot-k/User-dependent-Padding | 2 | Speaker-adaptive Lip Reading with User-dependent Padding | https://scholar.google.com/scholar?cluster=17763522654466182162&hl=en&as_sdt=0,5 | 1 | 2,022 |
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation | 4 | eccv | 2 | 1 | 2023-06-17 01:00:06.166000 | https://github.com/vinairesearch/tise-toolbox | 31 | TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation | https://scholar.google.com/scholar?cluster=3627435139991791018&hl=en&as_sdt=0,34 | 3 | 2,022 |
NewsStories: Illustrating Articles with Visual Summaries | 5 | eccv | 1 | 3 | 2023-06-17 01:00:06.380000 | https://github.com/newsstoriesdata/newsstories.github.io | 19 | NewsStories: Illustrating articles with visual summaries | https://scholar.google.com/scholar?cluster=9816707230174674680&hl=en&as_sdt=0,33 | 0 | 2,022 |
FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation | 2 | eccv | 1 | 0 | 2023-06-17 01:00:06.618000 | https://github.com/eric-ai-lab/fedvln | 9 | FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation | https://scholar.google.com/scholar?cluster=11458385995379271180&hl=en&as_sdt=0,33 | 2 | 2,022 |
Sports Video Analysis on Large-Scale Data | 1 | eccv | 6 | 2 | 2023-06-17 01:00:06.832000 | https://github.com/jackwu502/nsva | 31 | Sports Video Analysis on Large-Scale Data | https://scholar.google.com/scholar?cluster=14505861862552262151&hl=en&as_sdt=0,5 | 2 | 2,022 |
Grounding Visual Representations with Texts for Domain Generalization | 4 | eccv | 6 | 0 | 2023-06-17 01:00:07.047000 | https://github.com/mswzeus/gvrt | 31 | Grounding visual representations with texts for domain generalization | https://scholar.google.com/scholar?cluster=3995014318717094250&hl=en&as_sdt=0,24 | 1 | 2,022 |
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation | 10 | eccv | 24 | 6 | 2023-06-17 01:00:07.275000 | https://github.com/adymaharana/storydalle | 288 | StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation | https://scholar.google.com/scholar?cluster=10699382869180186165&hl=en&as_sdt=0,36 | 8 | 2,022 |
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance | 132 | eccv | 37 | 6 | 2023-06-17 01:00:07.488000 | https://github.com/eleutherai/vqgan-clip | 327 | Vqgan-clip: Open domain image generation and editing with natural language guidance | https://scholar.google.com/scholar?cluster=525698880435488054&hl=en&as_sdt=0,11 | 9 | 2,022 |
End-to-End Active Speaker Detection | 8 | eccv | 0 | 1 | 2023-06-17 01:00:07.702000 | https://github.com/fuankarion/end-to-end-asd | 3 | End-to-end active speaker detection | https://scholar.google.com/scholar?cluster=2440596378456637356&hl=en&as_sdt=0,33 | 3 | 2,022 |
Adaptive Fine-Grained Sketch-Based Image Retrieval | 7 | eccv | 0 | 0 | 2023-06-17 01:00:07.922000 | https://github.com/ayankumarbhunia/adaptive-fgsbir | 5 | Adaptive fine-grained sketch-based image retrieval | https://scholar.google.com/scholar?cluster=13775672505240083357&hl=en&as_sdt=0,37 | 1 | 2,022 |
Quantized GAN for Complex Music Generation from Dance Videos | 8 | eccv | 13 | 1 | 2023-06-17 01:00:08.136000 | https://github.com/l-yezhu/d2m-gan | 65 | Quantized gan for complex music generation from dance videos | https://scholar.google.com/scholar?cluster=16389033554032178157&hl=en&as_sdt=0,5 | 6 | 2,022 |
Localizing Visual Sounds the Easy Way | 23 | eccv | 5 | 4 | 2023-06-17 01:00:08.351000 | https://github.com/stonemo/ez-vsl | 19 | Localizing visual sounds the easy way | https://scholar.google.com/scholar?cluster=9273108791941705691&hl=en&as_sdt=0,5 | 2 | 2,022 |
PACS: A Dataset for Physical Audiovisual Commonsense Reasoning | 5 | eccv | 1 | 0 | 2023-06-17 01:00:08.564000 | https://github.com/samuelyu2002/pacs | 8 | PACS: A Dataset for Physical Audiovisual CommonSense Reasoning | https://scholar.google.com/scholar?cluster=9586074467218759453&hl=en&as_sdt=0,23 | 2 | 2,022 |
VoViT: Low Latency Graph-Based Audio-Visual Voice Separation Transformer | 7 | eccv | 6 | 2 | 2023-06-17 01:00:08.776000 | https://github.com/JuanFMontesinos/VoViT | 25 | Vovit: Low latency graph-based audio-visual voice separation transformer | https://scholar.google.com/scholar?cluster=12817647739550983283&hl=en&as_sdt=0,20 | 4 | 2,022 |
MultiMAE: Multi-modal Multi-task Masked Autoencoders | 63 | eccv | 45 | 1 | 2023-06-17 01:00:09.005000 | https://github.com/EPFL-VILAB/MultiMAE | 440 | Multimae: Multi-modal multi-task masked autoencoders | https://scholar.google.com/scholar?cluster=7235983779434806126&hl=en&as_sdt=0,33 | 13 | 2,022 |
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression | 26 | eccv | 23 | 8 | 2023-06-17 01:00:09.250000 | https://github.com/jinyeying/night-enhancement | 216 | Unsupervised night image enhancement: When layer decomposition meets light-effects suppression | https://scholar.google.com/scholar?cluster=11260123721293405393&hl=en&as_sdt=0,5 | 2 | 2,022 |
Relationformer: A Unified Framework for Image-to-Graph Generation | 12 | eccv | 4 | 11 | 2023-06-17 01:00:09.470000 | https://github.com/suprosanna/relationformer | 65 | Relationformer: A Unified Framework for Image-to-Graph Generation | https://scholar.google.com/scholar?cluster=16116173940654779023&hl=en&as_sdt=0,5 | 7 | 2,022 |
GAMa: Cross-view Video Geo-localization | 2 | eccv | 2 | 1 | 2023-06-17 01:00:09.687000 | https://github.com/svyas23/gama | 12 | GAMa: Cross-View Video Geo-Localization | https://scholar.google.com/scholar?cluster=1999917487159106975&hl=en&as_sdt=0,10 | 2 | 2,022 |
Geometric Representation Learning for Document Image Rectification | 5 | eccv | 0 | 8 | 2023-06-17 01:00:09.904000 | https://github.com/fh2019ustc/docgeonet | 38 | Geometric Representation Learning for Document Image Rectification | https://scholar.google.com/scholar?cluster=10444079597645547222&hl=en&as_sdt=0,10 | 5 | 2,022 |
Semantic-Guided Multi-Mask Image Harmonization | 4 | eccv | 1 | 0 | 2023-06-17 01:00:10.118000 | https://github.com/xuqianren/semantic-guided-multi-mask-image-harmonization | 10 | Semantic-Guided Multi-mask Image Harmonization | https://scholar.google.com/scholar?cluster=740471268329692668&hl=en&as_sdt=0,19 | 1 | 2,022 |
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models | 32 | eccv | 4 | 0 | 2023-06-17 01:00:10.331000 | https://github.com/chenfengxu714/image2point | 100 | Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models | https://scholar.google.com/scholar?cluster=1887117743527395566&hl=en&as_sdt=0,32 | 14 | 2,022 |
FAR: Fourier Aerial Video Recognition | 4 | eccv | 0 | 0 | 2023-06-17 01:00:10.561000 | https://github.com/divyakraman/ECCV2022_FARFourierAerialVideoRecognition | 6 | FAR: Fourier Aerial Video Recognition | https://scholar.google.com/scholar?cluster=13274635461645923829&hl=en&as_sdt=0,47 | 1 | 2,022 |
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment | 2 | eccv | 50 | 5 | 2023-06-17 01:00:10.783000 | https://github.com/megviirobot/megba | 361 | MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment | https://scholar.google.com/scholar?cluster=1343967457853026081&hl=en&as_sdt=0,26 | 23 | 2,022 |
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information | 8 | eccv | 1 | 1 | 2023-06-17 01:00:11.031000 | https://github.com/surajkothawade/talisman | 7 | Talisman: targeted active learning for object detection with rare classes and slices using submodular mutual information | https://scholar.google.com/scholar?cluster=18174068922113194553&hl=en&as_sdt=0,5 | 1 | 2,022 |
An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries | 1 | eccv | 22 | 0 | 2023-06-17 01:00:11.338000 | https://github.com/WuJunde/checkoutfree | 149 | An efficient person clustering algorithm for open checkout-free groceries | https://scholar.google.com/scholar?cluster=8248893577780579601&hl=en&as_sdt=0,29 | 15 | 2,022 |
POP: Mining POtential Performance of New Fashion Products via Webly Cross-Modal Query Expansion | 2 | eccv | 1 | 0 | 2023-06-17 01:00:11.556000 | https://github.com/humaticslab/pop-mining-potential-performance | 5 | POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion | https://scholar.google.com/scholar?cluster=10986506715792902692&hl=en&as_sdt=0,5 | 1 | 2,022 |
Pose Forecasting in Industrial Human-Robot Collaboration | 3 | eccv | 5 | 2 | 2023-06-17 01:00:11.800000 | https://github.com/alessiosam/chico-poseforecasting | 15 | Pose Forecasting in Industrial Human-Robot Collaboration | https://scholar.google.com/scholar?cluster=5041748353955596330&hl=en&as_sdt=0,33 | 4 | 2,022 |
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment | 2 | eccv | 11 | 0 | 2023-06-17 01:00:12.017000 | https://github.com/ParitoshParmar/Fitness-AQA | 16 | Domain Knowledge-Informed Self-supervised Representations for Workout Form Assessment | https://scholar.google.com/scholar?cluster=1771967292738028463&hl=en&as_sdt=0,5 | 5 | 2,022 |
Addressing Heterogeneity in Federated Learning via Distributional Transformation | 2 | eccv | 0 | 0 | 2023-06-17 01:00:12.288000 | https://github.com/hyhmia/distrans | 4 | Addressing Heterogeneity in Federated Learning via Distributional Transformation | https://scholar.google.com/scholar?cluster=7595000318226544497&hl=en&as_sdt=0,5 | 1 | 2,022 |
Where in the World Is This Image? Transformer-Based Geo-Localization in the Wild | 4 | eccv | 0 | 0 | 2023-06-17 01:00:12.523000 | https://github.com/shramanpramanick/transformer_based_geo-localization | 13 | Where in the World is this Image? Transformer-based Geo-localization in the Wild | https://scholar.google.com/scholar?cluster=12815785118431881387&hl=en&as_sdt=0,32 | 2 | 2,022 |
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection | 8 | eccv | 7 | 4 | 2023-06-17 01:00:12.757000 | https://github.com/mingyuyng/visual-selective-vio | 64 | Efficient deep visual and inertial odometry with adaptive visual modality selection | https://scholar.google.com/scholar?cluster=10071301244979063127&hl=en&as_sdt=0,5 | 3 | 2,022 |
AutoTransition: Learning to Recommend Video Transition Effects | 2 | eccv | 6 | 4 | 2023-06-17 01:00:12.972000 | https://github.com/acherstyx/autotransition | 32 | Autotransition: Learning to recommend video transition effects | https://scholar.google.com/scholar?cluster=11848051264458533157&hl=en&as_sdt=0,26 | 1 | 2,022 |
Online Segmentation of LiDAR Sequences: Dataset and Algorithm | 1 | eccv | 6 | 0 | 2023-06-17 01:00:13.184000 | https://github.com/romainloiseau/Helix4D | 47 | Online Segmentation of LiDAR Sequences: Dataset and Algorithm | https://scholar.google.com/scholar?cluster=6780570625077556715&hl=en&as_sdt=0,5 | 3 | 2,022 |
Open-World Semantic Segmentation for LIDAR Point Clouds | 8 | eccv | 5 | 1 | 2023-06-17 01:00:13.396000 | https://github.com/jun-cen/open_world_3d_semantic_segmentation | 52 | Open-world semantic segmentation for lidar point clouds | https://scholar.google.com/scholar?cluster=1582819942034649369&hl=en&as_sdt=0,15 | 5 | 2,022 |
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients | 11 | eccv | 153 | 1 | 2023-06-17 01:00:13.610000 | https://github.com/autonomousvision/transfuser | 789 | King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients | https://scholar.google.com/scholar?cluster=10864165260336171731&hl=en&as_sdt=0,14 | 24 | 2,022 |
Differentiable Raycasting for Self-Supervised Occupancy Forecasting | 8 | eccv | 3 | 0 | 2023-06-17 01:00:13.823000 | https://github.com/tarashakhurana/emergent-occ-forecasting | 23 | Differentiable raycasting for self-supervised occupancy forecasting | https://scholar.google.com/scholar?cluster=16013699291387108751&hl=en&as_sdt=0,34 | 3 | 2,022 |
CenterFormer: Center-based Transformer for 3D Object Detection | 28 | eccv | 19 | 19 | 2023-06-17 01:00:14.035000 | https://github.com/tusimple/centerformer | 240 | Centerformer: Center-based transformer for 3d object detection | https://scholar.google.com/scholar?cluster=12072236336365895354&hl=en&as_sdt=0,22 | 10 | 2,022 |
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning | 25 | eccv | 0 | 0 | 2023-06-17 01:00:14.258000 | https://github.com/openperceptionx/st-p3 | 0 | St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning | https://scholar.google.com/scholar?cluster=6699869351633854350&hl=en&as_sdt=0,5 | 2 | 2,022 |
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