activity
20222026
most citedSelf-supervised Amodal Video Object Segmentation

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Beyond Attention Imbalance: Mitigating Hallucinations via Spectral Surgery

Siqi Lu, Suo Wei, Yongbin Zheng +3

While Large Vision-Language Models (LVLMs) achieve remarkable success, hallucinations remain a significant barrier to their reliable deployment. Recent studies primarily attribute…

cs.CV2026

Plug, Play, and Fortify: A Low-Cost Module for Robust Multimodal Image Understanding Models

Siqi Lu, Wanying Xu, Yongbin Zheng +3

Missing modalities present a fundamental challenge in multimodal models, often causing catastrophic performance degradation. Our observations suggest that this fragility stems from…

cs.CV2025

VK-Det: Visual Knowledge Guided Prototype Learning for Open-Vocabulary Aerial Object Detection

Jianhang Yao, Yongbin Zheng, Siqi Lu +2

To identify objects beyond predefined categories, open-vocabulary aerial object detection (OVAD) leverages the zero-shot capabilities of visual-language models (VLMs) to generalize…

cs.RO2025

HRT1: One-Shot Human-to-Robot Trajectory Transfer for Mobile Manipulation

Sai Haneesh Allu, Jishnu Jaykumar P, Ninad Khargonkar +3

We introduce a novel system for human-to-robot trajectory transfer that enables robots to manipulate objects by learning from human demonstration videos. The system consists of fou…

cs.CV2022★ 4 cited

Self-supervised Amodal Video Object Segmentation

Jian Yao, Yuxin Hong, Chiyu Wang +6

Amodal perception requires inferring the full shape of an object that is partially occluded. This task is particularly challenging on two levels: (1) it requires more information t…