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20162024
most citedVideo Question Answering via Attribute-Augmented Attention Network Learning

103 citations · 716 across the 66 of their papers we have counts for

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Showing 2022Show all

18 papers · 1 filter

cs.CV2022★ 3 cited

MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding

Wei Ji, Long Chen, Yinwei Wei +2

Given an untrimmed video and natural language query, video sentence grounding aims to localize the target temporal moment in the video. Existing methods mainly tackle this task by…

cs.CV2022

TempCLR: Temporal Alignment Representation with Contrastive Learning

Yuncong Yang, Jiawei Ma, Shiyuan Huang +4

Video representation learning has been successful in video-text pre-training for zero-shot transfer, where each sentence is trained to be close to the paired video clips in a commo…

cs.CV2022★ 8 cited

Respecting Transfer Gap in Knowledge Distillation

Yulei Niu, Long Chen, Chang Zhou +1

Knowledge distillation (KD) is essentially a process of transferring a teacher model's behavior, e.g., network response, to a student model. The network response serves as addition…

cs.CV2022

Weakly-Supervised Temporal Article Grounding

Long Chen, Yulei Niu, Brian Chen +6

Given a long untrimmed video and natural language queries, video grounding (VG) aims to temporally localize the semantically-aligned video segments. Almost all existing VG work hol…

cs.CV2022★ 1 cited

Correspondence Matters for Video Referring Expression Comprehension

Meng Cao, Ji Jiang, Long Chen +1

We investigate the problem of video Referring Expression Comprehension (REC), which aims to localize the referent objects described in the sentence to visual regions in the video f…

cs.CV2022★ 3 cited

Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation

Lin Li, Long Chen, Hanrong Shi +4

The Scene Graph Generation (SGG) task aims to detect all the objects and their pairwise visual relationships in a given image. Although SGG has achieved remarkable progress over th…