4 citations · 9 across the 16 of their papers we have counts for
12 papers · 1 filter
MATE: Motion-Augmented Temporal Consistency for Event-based Point Tracking
Han Han, Wei Zhai, Yang Cao +2
Tracking Any Point (TAP) plays a crucial role in motion analysis. Video-based approaches rely on iterative local matching for tracking, but they assume linear motion during the bli…
Leverage Task Context for Object Affordance Ranking
Haojie Huang, Hongchen Luo, Wei Zhai +2
Intelligent agents accomplish different tasks by utilizing various objects based on their affordance, but how to select appropriate objects according to task context is not well-ex…
GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
Yawen Shao, Wei Zhai, Yuhang Yang +3
Open-Vocabulary 3D object affordance grounding aims to anticipate ``action possibilities'' regions on 3D objects with arbitrary instructions, which is crucial for robots to generic…
Visual-Geometric Collaborative Guidance for Affordance Learning
Hongchen Luo, Wei Zhai, Jiao Wang +2
Perceiving potential ``action possibilities'' (\ie, affordance) regions of images and learning interactive functionalities of objects from human demonstration is a challenging task…
MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling
Jian Yang, Dacheng Yin, Yizhou Zhou +4
Recent advancements in multi-modal large language models have propelled the development of joint probabilistic models capable of both image understanding and generation. However, w…
Grounding 3D Scene Affordance From Egocentric Interactions
Cuiyu Liu, Wei Zhai, Yuhang Yang +4
Grounding 3D scene affordance aims to locate interactive regions in 3D environments, which is crucial for embodied agents to interact intelligently with their surroundings. Most ex…
VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection
Huilin Deng, Hongchen Luo, Wei Zhai +2
Zero-shot anomaly detection (ZSAD) recognizes and localizes anomalies in previously unseen objects by establishing feature mapping between textual prompts and inspection images, de…
PEAR: Phrase-Based Hand-Object Interaction Anticipation
Zichen Zhang, Hongchen Luo, Wei Zhai +2
First-person hand-object interaction anticipation aims to predict the interaction process over a forthcoming period based on current scenes and prompts. This capability is crucial…
Bidirectional Progressive Transformer for Interaction Intention Anticipation
Zichen Zhang, Hongchen Luo, Wei Zhai +2
Interaction intention anticipation aims to jointly predict future hand trajectories and interaction hotspots. Existing research often treated trajectory forecasting and interaction…
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views
Yuhang Yang, Wei Zhai, Chengfeng Wang +3
Understanding egocentric human-object interaction (HOI) is a fundamental aspect of human-centric perception, facilitating applications like AR/VR and embodied AI. For the egocentri…
Intention-driven Ego-to-Exo Video Generation
Hongchen Luo, Kai Zhu, Wei Zhai +1
Ego-to-exo video generation refers to generating the corresponding exocentric video according to the egocentric video, providing valuable applications in AR/VR and embodied AI. Ben…
Event-based Asynchronous HDR Imaging by Temporal Incident Light Modulation
Yuliang Wu, Ganchao Tan, Jinze Chen +3
Dynamic Range (DR) is a pivotal characteristic of imaging systems. Current frame-based cameras struggle to achieve high dynamic range imaging due to the conflict between globally u…