activity
20242026
collaborators

7 papers

cs.RO2026

Acting Through Registers

Yiwei Zhang, Yantai Yang, Jin Gao +7

World Action Models (WAMs) use generative visual representations to condition robot actions, yet how these representations organize action-relevant information remains poorly under…

cs.CV2026

VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement

Wenzhuo Xu, Yuchen Zhu, Chongjian Ge +8

Visual fluency in generated video does not imply physical reliability, and a scalar quality score alone is incapable of indicating the obligation a clip violates or the moment it f…

stat.ML2026

Unsupervised Identification and Removal of Spurious Correlations During Fine-Tuning

Ciarán M. Gilligan-Lee, Joseph Egan, Yuchen Zhu +1

Fine-tuning a pretrained language model on a curated dataset can produce spurious correlations between the fine-tuning task and unintended latent factors---such as misaligned perso…

cs.CV2025

Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats

Jiaye Qian, Ge Zheng, Yuchen Zhu +1

Despite their impressive performance across a wide range of tasks, Large Vision-Language Models (LVLMs) remain prone to hallucination. In this study, we propose a comprehensive int…

cs.CV2025

Sim-DETR: Unlock DETR for Temporal Sentence Grounding

Jiajin Tang, Zhengxuan Wei, Yuchen Zhu +4

Temporal sentence grounding aims to identify exact moments in a video that correspond to a given textual query, typically addressed with detection transformer (DETR) solutions. How…

cs.CV2025

Rethinking Query-based Transformer for Continual Image Segmentation

Yuchen Zhu, Cheng Shi, Dingyou Wang +5

Class-incremental/Continual image segmentation (CIS) aims to train an image segmenter in stages, where the set of available categories differs at each stage. To leverage the built-…

cs.CV2024

Plain-Det: A Plain Multi-Dataset Object Detector

Cheng Shi, Yuchen Zhu, Sibei Yang

Recent advancements in large-scale foundational models have sparked widespread interest in training highly proficient large vision models. A common consensus revolves around the ne…