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Jue Wang

7 papers hereh-index 5130 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author6

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.AI1
same name
  • Jue Wang — 25 papers, h 19
  • Jue Wang — 16 papers, h 18
  • Jue Wang — 16 papers, h 12
  • Jue Wang — 16 papers, h 17
  • Jue Wang — 10 papers, h 21
  • Jue Wang — 10 papers, h 18

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedThe Amazon Nova Family of Models: Technical Report and Model Card

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CV2024

NowYouSee Me: Context-Aware Automatic Audio Description

Seon-Ho Lee, Jue Wang, David Fan +5

Audio Description (AD) plays a pivotal role as an application system aimed at guaranteeing accessibility in multimedia content, which provides additional narrations at suitable int…

cs.CV2024

GEXIA: Granularity Expansion and Iterative Approximation for Scalable Multi-grained Video-language Learning

Yicheng Wang, Zhikang Zhang, Jue Wang +6

In various video-language learning tasks, the challenge of achieving cross-modality alignment with multi-grained data persists. We propose a method to tackle this challenge from tw…

cs.CV2024

Video Token Merging for Long-form Video Understanding

Seon-Ho Lee, Jue Wang, Zhikang Zhang +2

As the scale of data and models for video understanding rapidly expand, handling long-form video input in transformer-based models presents a practical challenge. Rather than resor…

cs.CV2024

Text-Guided Video Masked Autoencoder

David Fan, Jue Wang, Shuai Liao +3

Recent video masked autoencoder (MAE) works have designed improved masking algorithms focused on saliency. These works leverage visual cues such as motion to mask the most salient…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.