most citedFine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval

29 citations · 30 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation

Qiaohui Chu, Haoyu Zhang, Meng Liu +3

Long-term action anticipation from egocentric video is critical for applications such as human-computer interaction and assistive technologies, where anticipating user intent enabl…

cs.CV2025

Technical Report for Ego4D Long-Term Action Anticipation Challenge 2025

Qiaohui Chu, Haoyu Zhang, Yisen Feng +4

In this report, we present a novel three-stage framework developed for the Ego4D Long-Term Action Anticipation (LTA) task. Inspired by recent advances in foundation models, our met…

cs.CV2025

Spatial Understanding from Videos: Structured Prompts Meet Simulation Data

Haoyu Zhang, Meng Liu, Zaijing Li +4

Visual-spatial understanding, the ability to infer object relationships and layouts from visual input, is fundamental to downstream tasks such as robotic navigation and embodied in…

cs.CV202529 cited

Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval

Haoqiang Lin, Haokun Wen, Xuemeng Song +3

Composed Image Retrieval (CIR) allows users to search target images with a multimodal query, comprising a reference image and a modification text that describes the user's modifica…

cs.CV20241 cited

Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing

Kejie Wang, Xuemeng Song, Meng Liu +2

Text-to-image diffusion models have demonstrated remarkable progress in synthesizing high-quality images from text prompts, which boosts researches on prompt-based image editing th…