HaochenWang

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authored 4 papers 28 days ago

Continual Forgetting for Pre-trained Vision Models

Paper • 2403.11530 • Published Mar 18, 2024 • 1

Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness

Paper • 2504.01901 • Published Apr 2

PairUni: Pairwise Training for Unified Multimodal Language Models

Paper • 2510.25682 • Published Oct 29 • 13

MVU-Eval: Towards Multi-Video Understanding Evaluation for Multimodal LLMs

Paper • 2511.07250 • Published 29 days ago • 17

authored 3 papers about 2 months ago

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence

Paper • 2510.20579 • Published Oct 23 • 55

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

Paper • 2510.12796 • Published Oct 14 • 12

Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs

Paper • 2510.18876 • Published Oct 21 • 36

authored 4 papers 5 months ago

The Scalability of Simplicity: Empirical Analysis of Vision-Language Learning with a Single Transformer

Paper • 2504.10462 • Published Apr 14 • 15

VGR: Visual Grounded Reasoning

Paper • 2506.11991 • Published Jun 13 • 19

Holistic Tokenizer for Autoregressive Image Generation

Paper • 2507.02358 • Published Jul 3 • 4

Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology

Paper • 2507.07999 • Published Jul 10 • 49

authored 9 papers 11 months ago

Hard Patches Mining for Masked Image Modeling

Paper • 2304.05919 • Published Apr 12, 2023 • 1

DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

Paper • 2309.03576 • Published Sep 7, 2023 • 2

OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction

Paper • 2410.23278 • Published Oct 30, 2024 • 2

Reconstructive Visual Instruction Tuning

Paper • 2410.09575 • Published Oct 12, 2024 • 1

Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels

Paper • 2203.03884 • Published Mar 8, 2022 • 1

Balancing Logit Variation for Long-tailed Semantic Segmentation

Paper • 2306.02061 • Published Jun 3, 2023 • 1

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation

Paper • 2209.06993 • Published Sep 15, 2022 • 1

Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

Paper • 2306.02314 • Published Jun 4, 2023 • 1

Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation

Paper • 2305.13752 • Published May 23, 2023 • 1