Bingyi Kang
28 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🧭 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)
Top co-authors
Keywords
depth estimation
(5)
monocular depth
(4)
offline reinforcement learning
(4)
reinforcement learning
(3)
metric depth
(3)
data augmentation
(3)
contrastive learning
(2)
representation learning
(2)
diffusion model
(2)
conservative q-learning
(2)
model compression
(2)
policy optimization
(2)
self-supervised learning
(2)
monocular depth estimation
(2)
imitation learning
(1)
image generation
(1)
episodic learning
(1)
neural tangent kernel
(1)
sample efficiency
(1)
video generation
(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