43 citations · 80 across the 43 of their papers we have counts for
15 papers · 1 filter
GVSynergy-Det: Synergistic Gaussian-Voxel Representations for Multi-View 3D Object Detection
Yi Zhang, Yi Wang, Lei Yao +1
Image-based 3D object detection aims to identify and localize objects in 3D space using only RGB images, eliminating the need for expensive depth sensors required by point cloud-ba…
Building Egocentric Procedural AI Assistant: Methods, Benchmarks, and Challenges
Junlong Li, Huaiyuan Xu, Sijie Cheng +4
Driven by recent advances in vision-language models (VLMs) and egocentric perception research, the emerging topic of an egocentric procedural AI assistant (EgoProceAssist) is intro…
Semantic Representation Attack against Aligned Large Language Models
Jiawei Lian, Jianhong Pan, Lefan Wang +3
Large Language Models (LLMs) increasingly employ alignment techniques to prevent harmful outputs. Despite these safeguards, attackers can circumvent them by crafting prompts that i…
HSNet: Heterogeneous Subgraph Network for Single Image Super-resolution
Qiongyang Hu, Wenyang Liu, Wenbin Zou +3
Existing deep learning approaches for image super-resolution, particularly those based on CNNs and attention mechanisms, often suffer from structural inflexibility. Although graph-…
EDVD-LLaMA: Explainable Deepfake Video Detection via Multimodal Large Language Model Reasoning
Haoran Sun, Chen Cai, Huiping Zhuang +3
The rapid development of deepfake video technology has not only facilitated artistic creation but also made it easier to spread misinformation. Traditional deepfake video detection…
GaussianCross: Cross-modal Self-supervised 3D Representation Learning via Gaussian Splatting
Lei Yao, Yi Wang, Yi Zhang +2
The significance of informative and robust point representations has been widely acknowledged for 3D scene understanding. Despite existing self-supervised pre-training counterparts…
Towards Blind Bitstream-corrupted Video Recovery via a Visual Foundation Model-driven Framework
Tianyi Liu, Kejun Wu, Chen Cai +3
Video signals are vulnerable in multimedia communication and storage systems, as even slight bitstream-domain corruption can lead to significant pixel-domain degradation. To recove…
PromptSR: Cascade Prompting for Lightweight Image Super-Resolution
Wenyang Liu, Chen Cai, Jianjun Gao +4
Although the lightweight Vision Transformer has significantly advanced image super-resolution (SR), it faces the inherent challenge of a limited receptive field due to the window-b…
EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric Optimization
Xiaoqi Wang, Yi Wang, Lap-Pui Chau
Egocentric video-language understanding demands both high efficiency and accurate spatial-temporal modeling. Existing approaches face three key challenges: 1) Excessive pre-trainin…
3DGeoDet: General-purpose Geometry-aware Image-based 3D Object Detection
Yi Zhang, Yi Wang, Yawen Cui +1
This paper proposes 3DGeoDet, a novel geometry-aware 3D object detection approach that effectively handles single- and multi-view RGB images in indoor and outdoor environments, sho…
Egocentric Human-Object Interaction Detection: A New Benchmark and Method
Kunyuan Deng, Yi Wang, Lap-Pui Chau
Egocentric human-object interaction (Ego-HOI) detection is crucial for intelligent agents to understand and assist human activities from a first-person perspective. However, progre…
ANNEXE: Unified Analyzing, Answering, and Pixel Grounding for Egocentric Interaction
Yuejiao Su, Yi Wang, Qiongyang Hu +2
Egocentric interaction perception is one of the essential branches in investigating human-environment interaction, which lays the basis for developing next-generation intelligent s…
Revealing the Intrinsic Ethical Vulnerability of Aligned Large Language Models
Jiawei Lian, Jianhong Pan, Lefan Wang +3
Large language models (LLMs) are foundational explorations to artificial general intelligence, yet their alignment with human values via instruction tuning and preference learning…
OccProphet: Pushing Efficiency Frontier of Camera-Only 4D Occupancy Forecasting with Observer-Forecaster-Refiner Framework
Junliang Chen, Huaiyuan Xu, Yi Wang +1
Predicting variations in complex traffic environments is crucial for the safety of autonomous driving. Recent advancements in occupancy forecasting have enabled forecasting future…
Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition
Ying Zheng, Yiyi Zhang, Yi Wang +1
Source-free domain adaptation in visual emotion recognition (SFDA-VER) is a highly challenging task that requires adapting VER models to the target domain without relying on source…