conftrace_

Bingyi Kang

28 papers · 2018–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) 🤝 Dynamic Duo (18) 👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (3) Prolific Year (7) 💎 Century Club (28) 🗃️ Keyword Collector (114)

Conferences

NIPS (10) CVPR (5) ICLR (4) ICML (4) ICCV (2) AAAI (1) ECCV (1) IJCAI (1)

Papers

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 VideoWorld: Exploring Knowledge Learning from Unlabeled Videos CVPR 2025 Video Depth Anything: Consistent Depth Estimation for Super-Long Videos CVPR 2025 DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NIPS 2024 Classification Done Right for Vision-Language Pre-Training NIPS 2024 Improving Token-Based World Models with Parallel Observation Prediction ICML 2024 MADiff: Offline Multi-agent Learning with Diffusion Models NIPS 2024 Depth Anything V2 NIPS 2024 Image Understanding Makes for A Good Tokenizer for Image Generation NIPS 2024 Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data CVPR 2024 Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments ICLR 2023 Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL NIPS 2023 Efficient Diffusion Policies For Offline Reinforcement Learning NIPS 2023 Mutual Information Regularized Offline Reinforcement Learning NIPS 2023 Bag of Tricks for Training Data Extraction from Language Models ICML 2023 FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models NIPS 2023 Exploring Balanced Feature Spaces for Representation Learning ICLR 2021 Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control ICLR 2021 Improving Generalization in Reinforcement Learning with Mixture Regularization NIPS 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 Decoupling Representation and Classifier for Long-Tailed Recognition ICLR 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