71 citations · 86 across the 6 of their papers we have counts for
6 papers
Link-Context Learning for Multimodal LLMs
Yan Tai, Weichen Fan, Zhao Zhang +3
The ability to learn from context with novel concepts, and deliver appropriate responses are essential in human conversations. Despite current Multimodal Large Language Models (MLL…
Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
Keqin Chen, Zhao Zhang, Weili Zeng +3
In human conversations, individuals can indicate relevant regions within a scene while addressing others. In turn, the other person can then respond by referring to specific region…
Described Object Detection: Liberating Object Detection with Flexible Expressions
Chi Xie, Zhao Zhang, Yixuan Wu +3
Detecting objects based on language information is a popular task that includes Open-Vocabulary object Detection (OVD) and Referring Expression Comprehension (REC). In this paper,…
Advancing Referring Expression Segmentation Beyond Single Image
Yixuan Wu, Zhao Zhang, Xie Chi +2
Referring Expression Segmentation (RES) is a widely explored multi-modal task, which endeavors to segment the pre-existing object within a single image with a given linguistic expr…
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
Xulin Li, Yan Lu, Bin Liu +7
Graph-based models have achieved great success in person re-identification tasks recently, which compute the graph topology structure (affinities) among different people first and…
Memory-Based Neighbourhood Embedding for Visual Recognition
Suichan Li, Dapeng Chen, Bin Liu +2
Learning discriminative image feature embeddings is of great importance to visual recognition. To achieve better feature embeddings, most current methods focus on designing differe…