6 citations · 10 across the 8 of their papers we have counts for
8 papers
MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues
Weishu Chen, Jinyi Tang, Zhouhui Hou +7
Memory extraction is crucial for maintaining coherent ultra-long dialogues in human-robot role-playing scenarios. However, existing methods often exhibit uncontrolled memory growth…
Automatic Synthesis of High-Quality Triplet Data for Composed Image Retrieval
Haiwen Li, Delong Liu, Zhaohui Hou +2
As a challenging vision-language (VL) task, Composed Image Retrieval (CIR) aims to retrieve target images using multimodal (image+text) queries. Although many existing CIR methods…
UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer
Delong Liu, Zhaohui Hou, Mingjie Zhan +3
Recently, diffusion-based video generation models have achieved significant success. However, existing models often suffer from issues like weak consistency and declining image qua…
MindShot: A Few-Shot Brain Decoding Framework via Transferring Cross-Subject Prior and Distilling Frequency Domain Knowledge
Shuai Jiang, Zhu Meng, Haiwen Li +3
Aiming to reconstruct visual stimuli from brain signals, brain decoding has recently made significant progress using functional magnetic resonance imaging (fMRI). However, it still…
MLS-Track: Multilevel Semantic Interaction in RMOT
Zeliang Ma, Song Yang, Zhe Cui +4
The new trend in multi-object tracking task is to track objects of interest using natural language. However, the scarcity of paired prompt-instance data hinders its progress. To ad…
Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
Delong Liu, Haiwen Li, Zhaohui Hou +3
Person retrieval has attracted rising attention. Existing methods are mainly divided into two retrieval modes, namely image-only and text-only. However, they are unable to make ful…
Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic Segmentation
Junhao Dong, Zhu Meng, Delong Liu +3
Semi-supervised semantic segmentation has attracted increasing attention in computer vision, aiming to leverage unlabeled data through latent supervision. To achieve this goal, pro…
Text-guided Image Restoration and Semantic Enhancement for Text-to-Image Person Retrieval
Delong Liu, Haiwen Li, Zhicheng Zhao +1
The goal of Text-to-Image Person Retrieval (TIPR) is to retrieve specific person images according to the given textual descriptions. A primary challenge in this task is bridging th…