activity
20202026
most citedVTNet: Visual Transformer Network for Object Goal Navigation

36 citations · 66 across the 16 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

FlashVTG: Feature Layering and Adaptive Score Handling Network for Video Temporal Grounding

Zhuo Cao, Bingqing Zhang, Heming Du +3

Text-guided Video Temporal Grounding (VTG) aims to localize relevant segments in untrimmed videos based on textual descriptions, encompassing two subtasks: Moment Retrieval (MR) an…

cs.MM2024

Diverse Sign Language Translation

Xin Shen, Lei Shen, Shaozu Yuan +3

Like spoken languages, a single sign language expression could correspond to multiple valid textual interpretations. Hence, learning a rigid one-to-one mapping for sign language tr…

cs.CV2024

MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset

Xin Shen, Heming Du, Hongwei Sheng +9

Isolated Sign Language Recognition (ISLR) focuses on identifying individual sign language glosses. Considering the diversity of sign languages across geographical regions, developi…

cs.CV2024

TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm

Bingqing Zhang, Zhuo Cao, Heming Du +4

Text-Video Retrieval (TVR) methods typically match query-candidate pairs by aligning text and video features in coarse-grained, fine-grained, or combined (coarse-to-fine) manners.…

cs.AI2024★ 2 cited

Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions

Qingbin Zeng, Qinglong Yang, Shunan Dong +4

This paper considers a scenario in city navigation: an AI agent is provided with language descriptions of the goal location with respect to some well-known landmarks; By only obser…

cs.CV2024★ 2 cited

Affective Behaviour Analysis via Integrating Multi-Modal Knowledge

Wei Zhang, Feng Qiu, Chen Liu +4

Affective Behavior Analysis aims to facilitate technology emotionally smart, creating a world where devices can understand and react to our emotions as humans do. To comprehensivel…