1 citations · 1 across the 11 of their papers we have counts for
12 papers
BAT-Nav: Belief-Based Arbitration and Termination via Remaining Discoverability in Multi-Goal Semantic Navigation
Xi Lin, Kangyi Wu, Jiayi Li +3
Multi-goal semantic navigation couples searches through a shrinking horizon: effort spent on one request can make another effectively undiscoverable. Discoverability therefore depe…
ATT-CR: Adaptive Triangular Transformer for Cloud Removal
Yang Wu, Ye Deng, Pengna Li +4
Cloud removal aims to accurately reconstruct the ground objects obscured by clouds in remote sensing images. Existing Transformer-based methods utilizing self-attention have shown…
TouchThinker: Scaling Tactile Commonsense Reasoning to the Open World with Large-scale Data and Action-aware Representation
Kailin Lyu, Di Wu, Pengwei Zhang +12
Touch is a key modality for embodied agents to understand the physical world. Although recent work has incorporated tactile signals into language systems for tactile commonsense re…
SpaAct: Spatially-Activated Transition Learning with Curriculum Adaptation for Vision-Language Navigation
Pengna Li, Kangyi Wu, Shaoqing Xu +7
Vision-and-Language Navigation (VLN) aims to enable an embodied agent to follow natural-language instructions and navigate to a target location in unseen 3D environments. We argue…
Think before Go: Hierarchical Reasoning for Image-goal Navigation
Pengna Li, Kangyi Wu, Shaoqing Xu +5
Image-goal navigation steers an agent to a target location specified by an image in unseen environments. Existing methods primarily handle this task by learning an end-to-end navig…
Dual-Anchoring: Addressing State Drift in Vision-Language Navigation
Kangyi Wu, Pengna Li, Kailin Lyu +5
Vision-Language Navigation(VLN) requires an agent to navigate through 3D environments by following natural language instructions. While recent Video Large Language Models(Video-LLM…
HiMemVLN: Enhancing Reliability of Open-Source Zero-Shot Vision-and-Language Navigation with Hierarchical Memory System
Kailin Lyu, Kangyi Wu, Pengna Li +9
LLM-based agents have demonstrated impressive zero-shot performance in vision-language navigation (VLN) tasks. However, most zero-shot methods primarily rely on closed-source LLMs…
CEM-Net: Cross-Emotion Memory Network for Emotional Talking Face Generation
Kangyi Wu, Pengna Li, Jingwen Fu +4
Emotional talking face generation aims to animate a human face in given reference images and generate a talking video that matches the content and emotion of driving audio. However…
REGNav: Room Expert Guided Image-Goal Navigation
Pengna Li, Kangyi Wu, Jingwen Fu +1
Image-goal navigation aims to steer an agent towards the goal location specified by an image. Most prior methods tackle this task by learning a navigation policy, which extracts vi…
Semantic-aware Representation Learning for Homography Estimation
Yuhan Liu, Qianxin Huang, Siqi Hui +5
Homography estimation is the task of determining the transformation from an image pair. Our approach focuses on employing detector-free feature matching methods to address this iss…
Camera-aware Label Refinement for Unsupervised Person Re-identification
Pengna Li, Kangyi Wu, Wenli Huang +2
Unsupervised person re-identification aims to retrieve images of a specified person without identity labels. Many recent unsupervised Re-ID approaches adopt clustering-based method…
Pseudo Labels Refinement with Intra-camera Similarity for Unsupervised Person Re-identification
Pengna Li, Kangyi Wu, Sanping Zhou. Qianxin Huang +1
Unsupervised person re-identification (Re-ID) aims to retrieve person images across cameras without any identity labels. Most clustering-based methods roughly divide image features…