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Bingyi Kang

30 papers · 2018–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (67) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (19) 🧬 Topic Evolution πŸ† Grand Slam πŸ† Keyword Champion (3) πŸ‘‘ Triple Crown ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (145) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (10) CVPR (7) ICLR (4) ICML (4) ICCV (2) AAAI (1) ECCV (1) IJCAI (1)

Top co-authors

Jiashi Feng (19) Shuicheng Yan (6) Yang Yue (4) Zilong Huang (4) KAIXIN WANG (4) Gao Huang (4) Xiaowei Zhou (3) Lihe Yang (3) Yu Li (3) Xiaojie Jin (3)

Research topics

Machine Learning (19) Deep Learning (15) Computer Vision (12) Artificial Intelligence (10) Reinforcement Learning (10) Application Areas (9) Core AI (9) Learning Types Β· Deep Learning (9) Methods (9) Learning Types Β· Machine Learning (8) Analysis (7) Models (6) Processing (6) Core Methods (5) Techniques (4)

Keywords

depth estimation (5) reinforcement learning (4) representation learning (4) offline reinforcement learning (4) monocular depth (4) contrastive learning (3) metric depth (3) data augmentation (3) deep reinforcement learning (3) diffusion model (3) self-supervised learning (3) class imbalance (3) policy optimization (3) latent dynamics model (2) conservative q-learning (2) model compression (2) multimodal large language model (2) monocular depth estimation (2) sparse reward (2) imitation learning (1)

Papers

SpatialTree: How Spatial Intelligence Branches Out in MLLMs CVPR 2026 VideoWorld 2: Learning Transferable Knowledge from Real-world Videos CVPR 2026 How Far Is Video Generation from World Model: A Physical Law Perspective ICML 2025 Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation CVPR 2025 SpatialTrackerV2: Advancing 3D Point Tracking with Explicit Camera Motion ICCV 2025 Video Depth Anything: Consistent Depth Estimation for Super-Long Videos CVPR 2025 VideoWorld: Exploring Knowledge Learning from Unlabeled Videos CVPR 2025 Classification Done Right for Vision-Language Pre-Training NeurIPS 2024 DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NeurIPS 2024 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data CVPR 2024 Depth Anything V2 NeurIPS 2024 Image Understanding Makes for A Good Tokenizer for Image Generation NeurIPS 2024 Improving Token-Based World Models with Parallel Observation Prediction ICML 2024 MADiff: Offline Multi-agent Learning with Diffusion Models NeurIPS 2024 Bag of Tricks for Training Data Extraction from Language Models ICML 2023 Efficient Diffusion Policies For Offline Reinforcement Learning NeurIPS 2023 FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models NeurIPS 2023 Mutual Information Regularized Offline Reinforcement Learning NeurIPS 2023 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments ICLR 2023 Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL NeurIPS 2023 Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 Exploring Balanced Feature Spaces for Representation Learning ICLR 2021 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control ICLR 2021 Decoupling Representation and Classifier for Long-Tailed Recognition ICLR 2020 Improving Generalization in Reinforcement Learning with Mixture Regularization NeurIPS 2020 Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax CVPR 2020 The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation ECCV 2020 Few-Shot Object Detection via Feature Reweighting ICCV 2019 Policy Optimization with Demonstrations ICML 2018 Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks IJCAI 2018