activity
20222026
most citedGlobal Instance Tracking: Locating Target More Like Humans

22 citations · 39 across the 19 of their papers we have counts for

collaborators

21 papers

cs.CL2026

STEMVerse: A Dual-Axis Diagnostic Framework for STEM Reasoning in Large Language Models

Xuzhao Li, Xuchen Li, Jian Zhao +1

As Large Language Models (LLMs) achieve significant breakthroughs in complex reasoning tasks, evaluating their proficiency in science, technology, engineering, and mathematics (STE…

cs.CV2026

Beyond Accuracy: Evaluating Grounded Visual Evidence in Thinking with Images

Xuchen Li, Xuzhao Li, Renjie Pi +3

Despite the remarkable progress of Vision-Language Models (VLMs) in adopting "Thinking-with-Images" capabilities, accurately evaluating the authenticity of their reasoning process…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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.…

cs.CV2025

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…

cs.CV2025

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…

cs.AI2025

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

Enhancing Vision-Language Tracking by Effectively Converting Textual Cues into Visual Cues

X. Feng, D. Zhang, S. Hu +5

Vision-Language Tracking (VLT) aims to localize a target in video sequences using a visual template and language description. While textual cues enhance tracking potential, current…

cs.CV2024

Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World

Meiqi Wu, Kaiqi Huang, Yuanqiang Cai +3

Air-writing is a challenging task that combines the fields of computer vision and natural language processing, offering an intuitive and natural approach for human-computer interac…

cs.CV2024

How Texts Help? A Fine-grained Evaluation to Reveal the Role of Language in Vision-Language Tracking

Xuchen Li, Shiyu Hu, Xiaokun Feng +4

Vision-language tracking (VLT) extends traditional single object tracking by incorporating textual information, providing semantic guidance to enhance tracking performance under ch…

cs.CV2024★ 1 cited

DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM

Xuchen Li, Shiyu Hu, Xiaokun Feng +4

Visual language tracking (VLT) has emerged as a cutting-edge research area, harnessing linguistic data to enhance algorithms with multi-modal inputs and broadening the scope of tra…

cs.CV2024★ 1 cited

When LLMs Learn to be Students: The SOEI Framework for Modeling and Evaluating Virtual Student Agents in Educational Interaction

Yiping Ma, Shiyu Hu, Xuchen Li +4

Recent advances in large language models (LLMs) have enabled intelligent tutoring systems, yet the development of LLM-based Virtual Student Agents (LVSAs) remains underexplored. Su…

cs.CV2024

FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning

Shiyu Hu, Xuchen Li, Xuzhao Li +4

Despite rapid progress in large vision-language models (LVLMs), existing video caption benchmarks remain limited in evaluating their alignment with human understanding. Most rely o…

cs.CV2024

Visual Language Tracking with Multi-modal Interaction: A Robust Benchmark

Xuchen Li, Shiyu Hu, Xiaokun Feng +4

Visual Language Tracking (VLT) enhances tracking by mitigating the limitations of relying solely on the visual modality, utilizing high-level semantic information through language.…

cs.CV2024

DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM

Xuchen Li, Xiaokun Feng, Shiyu Hu +4

Visual Language Tracking (VLT) enhances single object tracking (SOT) by integrating natural language descriptions from a video, for the precise tracking of a specified object. By l…

cs.CV2024★ 15 cited

BioDrone: A Bionic Drone-based Single Object Tracking Benchmark for Robust Vision

Xin Zhao, Shiyu Hu, Yipei Wang +8

Single object tracking (SOT) is a fundamental problem in computer vision, with a wide range of applications, including autonomous driving, augmented reality, and robot navigation.…

cs.CV2024

Robust single-particle cryo-EM image denoising and restoration

Jing Zhang, Tengfei Zhao, ShiYu Hu +1

Cryo-electron microscopy (cryo-EM) has achieved near-atomic level resolution of biomolecules by reconstructing 2D micrographs. However, the resolution and accuracy of the reconstru…

cs.CV2022★ 22 cited

Global Instance Tracking: Locating Target More Like Humans

Shiyu Hu, Xin Zhao, Lianghua Huang +1

Target tracking, the essential ability of the human visual system, has been simulated by computer vision tasks. However, existing trackers perform well in austere experimental envi…