4 citations · 17 across the 65 of their papers we have counts for
66 papers
BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
Lijian Li, Yuanpeng He, Yudian Zheng +6
Feed-forward transformer models have driven remarkable progress in 3D vision,yet their quadratic complexity renders them impractical for long video sequences. Streaming 3D reconstr…
GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay
Yiran Wang, Xingyilang Yin, Junfu Pu +12
Modern video games provide a measurable testbed for AI models, combining abilities of visual understanding, instruction decomposition, goal planning, and precise action control ove…
Multimodal Resource-Exhaustion Attacks on Vision-Language Models via Joint Pixel-Prompt Optimization
Zhaoxiong Ni, Yatie Xiao, Chi-Man Pun +3
Resource-exhaustion attacks against autoregressive vision-language models (VLMs) typically assume unimodal threat models, treating the image branch as the primary optimization surf…
EditaLive! Unified Character Video Editing for Live Streaming
Zhiyuan Li, Chi-Man Pun, Peng-Tao Jiang +2
Conventional video editing primarily focuses on scene-level content, whereas live streaming places greater emphasis on the human subject. However, directly applying existing video-…
An Interactive Agent for Requirement-Driven Candidate Sourcing
Yuanpeng He, Fangjing Li, Xiangyu Ru +10
Finding people from a natural-language description (``ML engineers transitioning to research roles in biotech'') is increasingly delegated to LLM agents and framed as information r…
Fast Test-Time Refinement for Robust Learned Image Compression
Jiaming Liang, Chi-Man Pun, Weisi Lin
Learned image compression (LIC) has demonstrated remarkable rate-distortion (RD) performance in benign settings. However, the high representational capacity endowed by deep neural…
ETHead: Generating Expressive 3D Facial Animation and Head Movement from Speech
Jiu-Cheng Xie, Jiwang Zheng, Yongkang Xia +4
Generating expressive 3D talking heads solely from speech remains a significant challenge due to the scarcity of high-fidelity 3D data, which limits the modeling of complex emotion…
TIGA: Trajectory-Injected Generative Attack against Black-box AIGC Detectors
Xia Du, Zhuosen Bao, Zheng Lin +4
Recent diffusion models have achieved remarkable realism in facial image synthesis, posing growing challenges to artificial intelligence-generated content (AIGC) forensic detectors…
Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
Jiaming Liang, Chi-Man Pun, Weisi Lin +1
Learned image compression (LIC) integrates deep neural networks (DNNs) to map high-dimensional images into compact latent representations, reducing redundancy and achieving superio…
TopoMamba: Topology-Aware Scanning and Fusion for Segmenting Heterogeneous Medical Visual Media
Fuchen Zheng, Chengpei Xu, Long Ma +10
Visual state-space models (SSMs) have shown strong potential for medical image segmentation, yet their effectiveness is often limited by two practical issues: axis-biased scan orde…
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
Weiwei Zhuang, Wangze Xie, Qi Zhang +9
Adversarial attacks pose a severe threat to the reliability of deep learning models in remote sensing (RS) image classification. Most existing methods rely on direct pixel-wise per…
Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection
Haifeng Zhang, Qinghui He, Xiuli Bi +3
In recent years, the rapid development of generative artificial intelligence technology has significantly lowered the barrier to creating high-quality fake images, posing a serious…
Intrinsic Concept Extraction Based on Compositional Interpretability
Hanyu Shi, Hong Tao, Guoheng Huang +5
Unsupervised Concept Extraction aims to extract concepts from a single image; however, existing methods suffer from the inability to extract composable intrinsic concepts. To addre…
Leveraging Arbitrary Data Sources for AI-Generated Image Detection Without Sacrificing Generalization
Qinghui He, Haifeng Zhang, Yanan Luo +4
The accelerating advancement of generative models has introduced new challenges for detecting AI-generated images, especially in real-world scenarios where novel generation techniq…
Fast Preemptive Robustification: High-Frequency Response Anti-Aligns Shared Vulnerability
Jiaming Liang, Chi-Man Pun
Adversarial attacks can readily compromise deep neural networks (DNNs). In particular, transferable attacks (TAs) exploit the shared vulnerabilities among DNNs, enabling perturbati…
A Unified Spatial Alignment Framework for Highly Transferable Transformation-Based Attacks on Spatially Structured Tasks
Jiaming Liang, Chi-Man Pun
Transformation-based adversarial attacks (TAAs) demonstrate strong transferability when deceiving classification models. However, existing TAAs often perform unsatisfactorily or ev…
MLLM-4D: Towards Visual-based Spatial-Temporal Intelligence
Xingyilang Yin, Chengzhengxu Li, Jiahao Chang +2
Humans are born with vision-based 4D spatial-temporal intelligence, which enables us to perceive and reason about the evolution of 3D space over time from purely visual inputs. Des…
RGA-Net: A Vision Enhancement Framework for Robotic Surgical Systems Using Reciprocal Attention Mechanisms
Quanjun Li, Weixuan Li, Han Xia +3
Robotic surgical systems rely heavily on high-quality visual feedback for precise teleoperation; yet, surgical smoke from energy-based devices significantly degrades endoscopic vid…
SIDeR: Semantic Identity Decoupling for Unrestricted Face Privacy
Zhuosen Bao, Xia Du, Zheng Lin +8
With the deep integration of facial recognition into online banking, identity verification, and other networked services, achieving effective decoupling of identity information fro…
ProMist-5K: A Comprehensive Dataset for Digital Emulation of Cinematic Pro-Mist Filter Effects
Yingtie Lei, Zimeng Li, Chi-Man Pun +3
Pro-Mist filters are widely used in cinematography for their ability to create soft halation, lower contrast, and produce a distinctive, atmospheric style. These effects are diffic…
OTI: A Model-free and Visually Interpretable Measure of Image Attackability
Jiaming Liang, Haowei Liu, Chi-Man Pun
Despite the tremendous success of neural networks, benign images can be corrupted by adversarial perturbations to deceive these models. Intriguingly, images differ in their attacka…
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection
Jiajie Zhu, Xia Du, Xiaoyuan Liu +4
The rapid advancements in artificial intelligence have significantly accelerated the adoption of speech recognition technology, leading to its widespread integration across various…
PersonaLive! Expressive Portrait Image Animation for Live Streaming
Zhiyuan Li, Chi-Man Pun, Chen Fang +2
Current diffusion-based portrait animation models predominantly focus on enhancing visual quality and expression realism, while overlooking generation latency and real-time perform…
HBFormer: A Hybrid-Bridge Transformer for Microtumor and Miniature Organ Segmentation
Fuchen Zheng, Xinyi Chen, Weixuan Li +6
Medical image segmentation is a cornerstone of modern clinical diagnostics. While Vision Transformers that leverage shifted window-based self-attention have established new benchma…