1 citations · 3 across the 9 of their papers we have counts for
6 papers · 1 filter
Qwen-Image-Agent: Bridging the Context Gap in Real-World Image Generation
Zekai Zhang, Jiahao Li, Jie Zhang +18
While text-to-image (T2I) models have achieved remarkable progress, they struggle with real-world requests that are often underspecified, implicit, or dependent on up-to-date knowl…
Gold Points Sniper: Self-guided Visual Reasoning in VLM for Fine-grained Action Understanding
Haodi Liu, Xinhang Yang, Kunda Yan +3
Robots operating in everyday environments must understand fine-grained human actions, intentions, and contextual cues from broad views where people occupy only small regions, a cap…
Voila-A: Aligning Vision-Language Models with User's Gaze Attention
Kun Yan, Lei Ji, Zeyu Wang +3
In recent years, the integration of vision and language understanding has led to significant advancements in artificial intelligence, particularly through Vision-Language Models (V…
GroundNLQ @ Ego4D Natural Language Queries Challenge 2023
Zhijian Hou, Lei Ji, Difei Gao +7
In this report, we present our champion solution for Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2023. Essentially, to accurately ground in a video, an effective egocent…
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis
Kun Yan, Lei Ji, Chenfei Wu +4
Panorama synthesis endeavors to craft captivating 360-degree visual landscapes, immersing users in the heart of virtual worlds. Nevertheless, contemporary panoramic synthesis techn…
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
Zhijian Hou, Wanjun Zhong, Lei Ji +6
This paper tackles an emerging and challenging problem of long video temporal grounding~(VTG) that localizes video moments related to a natural language (NL) query. Compared with s…