79 citations · 190 across the 35 of their papers we have counts for
9 papers · 2 filters
Neural-Logic Human-Object Interaction Detection
Liulei Li, Jianan Wei, Wenguan Wang +1
The interaction decoder utilized in prevalent Transformer-based HOI detectors typically accepts pre-composed human-object pairs as inputs. Though achieving remarkable performance,…
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation
Chen Liang, Wenguan Wang, Jiaxu Miao +1
Recent advances in semi-supervised semantic segmentation have been heavily reliant on pseudo labeling to compensate for limited labeled data, disregarding the valuable relational k…
Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation
Jinyu Chen, Wenguan Wang, Si Liu +2
Audio-visual navigation is an audio-targeted wayfinding task where a robot agent is entailed to travel a never-before-seen 3D environment towards the sounding source. In this artic…
Bird's-Eye-View Scene Graph for Vision-Language Navigation
Rui Liu, Xiaohan Wang, Wenguan Wang +1
Vision-language navigation (VLN), which entails an agent to navigate 3D environments following human instructions, has shown great advances. However, current agents are built upon…
Clustering based Point Cloud Representation Learning for 3D Analysis
Tuo Feng, Wenguan Wang, Xiaohan Wang +2
Point cloud analysis (such as 3D segmentation and detection) is a challenging task, because of not only the irregular geometries of many millions of unordered points, but also the…
Kefa: A Knowledge Enhanced and Fine-grained Aligned Speaker for Navigation Instruction Generation
Haitian Zeng, Xiaohan Wang, Wenguan Wang +1
We introduce a novel speaker model \textsc{Kefa} for navigation instruction generation. The existing speaker models in Vision-and-Language Navigation suffer from the large domain g…
Segment and Track Anything
Yangming Cheng, Liulei Li, Yuanyou Xu +4
This report presents a framework called Segment And Track Anything (SAMTrack) that allows users to precisely and effectively segment and track any object in a video. Additionally,…
Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
Liulei Li, Wenguan Wang, Tianfei Zhou +2
The objective of this paper is self-supervised learning of video object segmentation. We develop a unified framework which simultaneously models cross-frame dense correspondence fo…
Lana: A Language-Capable Navigator for Instruction Following and Generation
Xiaohan Wang, Wenguan Wang, Jiayi Shao +1
Recently, visual-language navigation (VLN) -- entailing robot agents to follow navigation instructions -- has shown great advance. However, existing literature put most emphasis on…