activity
20192026
most citedRobust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning

5 citations · 7 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

WAT: Online Video Understanding Needs Watching Before Thinking

Zifan Han, Hongbo Sun, Jinglin Xu +6

Multimodal Large Language Models (MLLMs) have shown strong capabilities in image understanding, motivating recent efforts to extend them to video reasoning. However, existing Video…

cs.CV2026

Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization

Chenwei Jia, Baoting Li, Xuchong Zhang +3

Post-Training Quantization (PTQ) has emerged as an effective technique for alleviating the substantial computational and memory overheads of Vision-Language Models (VLMs) by compre…

cs.CV2025

TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding

Canhui Tang, Zifan Han, Hongbo Sun +7

Multimodal Large Language Models (MLLMs) have demonstrated significant progress in vision-language tasks, yet they still face challenges when processing long-duration video inputs.…

cs.CV2025

From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation

Cheng Cheng, Lin Song, Di An +4

Autoregressive (AR) image generators offer a language-model-friendly approach to image generation by predicting discrete image tokens in a causal sequence. However, unlike diffusio…

cs.CV2024

Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection

Jingwei Sun, Xuchong Zhang, Changfeng Sun +2

Multi-View Diffusion Models (MVDMs) enable remarkable improvements in the field of 3D geometric reconstruction, but the issue regarding intellectual property has received increasin…

cs.CV2022★ 1 cited

Object-fabrication Targeted Attack for Object Detection

Xuchong Zhang, Changfeng Sun, Haoliang Han +1

Recent studies have demonstrated that object detection networks are usually vulnerable to adversarial examples. Generally, adversarial attacks for object detection can be categoriz…

cs.CV2020★ 1 cited

ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching

He Dai, Xuchong Zhang, Yongli Zhao +1

Efficient real-time disparity estimation is critical for the application of stereo vision systems in various areas. Recently, stereo network based on coarse-to-fine method has larg…