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20222026
most citedDecAlign: Hierarchical Cross-Modal Alignment for Decoupled Multimodal Representation Learning

5 citations · 20 across the 31 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Domain-wise Invariant Learning for Panoptic Scene Graph Generation

Li Li, You Qin, Wei Ji +2

Panoptic Scene Graph Generation (PSG) involves the detection of objects and the prediction of their corresponding relationships (predicates). However, the presence of biased predic…

cs.CV2023★ 1 cited

Towards Complex-query Referring Image Segmentation: A Novel Benchmark

Wei Ji, Li Li, Hao Fei +4

Referring Image Understanding (RIS) has been extensively studied over the past decade, leading to the development of advanced algorithms. However, there has been a lack of research…

eess.IV2023★ 1 cited

Causal SAR ATR with Limited Data via Dual Invariance

Chenwei Wang, You Qin, Li Li +5

Synthetic aperture radar automatic target recognition (SAR ATR) with limited data has recently been a hot research topic to enhance weak generalization. Despite many excellent meth…

cs.CV2023

Efficient Temporal Sentence Grounding in Videos with Multi-Teacher Knowledge Distillation

Renjie Liang, Yiming Yang, Hui Lu +1

Temporal Sentence Grounding in Videos (TSGV) aims to detect the event timestamps described by the natural language query from untrimmed videos. This paper discusses the challenge o…

cs.CV2023

Panoptic Scene Graph Generation with Semantics-Prototype Learning

Li Li, Wei Ji, Yiming Wu +4

Panoptic Scene Graph Generation (PSG) parses objects and predicts their relationships (predicate) to connect human language and visual scenes. However, different language preferenc…

cs.CV2023★ 5 cited

VPGTrans: Transfer Visual Prompt Generator across LLMs

Ao Zhang, Hao Fei, Yuan Yao +4

While developing a new multimodal LLM (MLLM) by pre-training on tremendous image-text pairs from scratch can be exceedingly resource-consuming, connecting an existing LLM with a co…