5 citations · 7 across the 10 of their papers we have counts for
10 papers
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…
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…
Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation
Ningnan Wang, Weihuang Chen, Liming Chen +4
Embodied visual navigation remains a challenging task, as agents must explore unknown environments with limited knowledge. Existing zero-shot studies have shown that incorporating…
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.…
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…
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…
Artificial Intelligence Security Competition (AISC)
Yinpeng Dong, Peng Chen, Senyou Deng +49
The security of artificial intelligence (AI) is an important research area towards safe, reliable, and trustworthy AI systems. To accelerate the research on AI security, the Artifi…
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…
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…
Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning
Myung Seok Shim, Chenye Zhao, Yang Li +3
Sensor fusion has wide applications in many domains including health care and autonomous systems. While the advent of deep learning has enabled promising multi-modal fusion of high…