1 citations · 2 across the 14 of their papers we have counts for
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MATrack: Efficient Multiscale Adaptive Tracker for Real-Time Nighttime UAV Operations
Xuzhao Li, Xuchen Li, Shiyu Hu
Nighttime UAV tracking faces significant challenges in real-world robotics operations. Low-light conditions not only limit visual perception capabilities, but cluttered backgrounds…
Select Less, Reason More: Prioritizing Evidence Purity for Video Reasoning
Xuchen Li, Xuzhao Li, Shiyu Hu +1
Long-form video reasoning remains a major challenge for Video Large Language Models (Video LLMs), as static uniform frame sampling leads to information dilution and obscures critic…
Look Less, Reason More: Rollout-Guided Adaptive Pixel-Space Reasoning
Xuchen Li, Xuzhao Li, Jiahui Gao +3
Vision-Language Models (VLMs) excel at many multimodal tasks, yet they frequently struggle with tasks requiring precise understanding and handling of fine-grained visual elements.…
VS-LLM: Visual-Semantic Depression Assessment based on LLM for Drawing Projection Test
Meiqi Wu, Yaxuan Kang, Xuchen Li +5
The Drawing Projection Test (DPT) is an essential tool in art therapy, allowing psychologists to assess participants' mental states through their sketches. Specifically, through sk…
ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking
X. Feng, S. Hu, X. Li +5
Vision-language tracking aims to locate the target object in the video sequence using a template patch and a language description provided in the initial frame. To achieve robust t…
VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains
Xuzhao Li, Xuchen Li, Shiyu Hu +2
Large language models (LLMs) increasingly rely on reinforcement learning (RL) to enhance their reasoning capabilities through feedback. A critical challenge is verifying the consis…
CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos
Xuchen Li, Xuzhao Li, Shiyu Hu +2
Recent advances in large language models (LLMs) have improved reasoning in text and image domains, yet achieving robust video reasoning remains a significant challenge. Existing vi…
DARTer: Dynamic Adaptive Representation Tracker for Nighttime UAV Tracking
Xuzhao Li, Xuchen Li, Shiyu Hu
Nighttime UAV tracking presents significant challenges due to extreme illumination variations and viewpoint changes, which severely degrade tracking performance. Existing approache…