351 citations · 363 across the 12 of their papers we have counts for
10 papers · 1 filter
Disentangling to Re-couple: Resolving the Similarity-Controllability Paradox in Subject-Driven Text-to-Image Generation
Shuang Li, Chao Deng, Hang Chen +8
Subject-Driven Text-to-Image (T2I) Generation aims to preserve a subject's identity while editing its context based on a text prompt. A core challenge in this task is the "similari…
Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment
Qi Chen, Chaorui Deng, Zixiong Huang +3
Text-to-image synthesis has made encouraging progress and attracted lots of public attention recently. However, popular evaluation metrics in this area, like the Inception Score an…
Identity-Consistent Aggregation for Video Object Detection
Chaorui Deng, Da Chen, Qi Wu
In Video Object Detection (VID), a common practice is to leverage the rich temporal contexts from the video to enhance the object representations in each frame. Existing methods tr…
Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval
Chaorui Deng, Qi Chen, Pengda Qin +2
In text-video retrieval, recent works have benefited from the powerful learning capabilities of pre-trained text-image foundation models (e.g., CLIP) by adapting them to the video…
Dynamic Perceiver for Efficient Visual Recognition
Yizeng Han, Dongchen Han, Zeyu Liu +7
Early exiting has become a promising approach to improving the inference efficiency of deep networks. By structuring models with multiple classifiers (exits), predictions for ``eas…
Learning Distinct and Representative Styles for Image Captioning
Qi Chen, Chaorui Deng, Qi Wu
Over the years, state-of-the-art (SoTA) image captioning methods have achieved promising results on some evaluation metrics (e.g., CIDEr). However, recent findings show that the ca…
Length-Controllable Image Captioning
Chaorui Deng, Ning Ding, Mingkui Tan +1
The last decade has witnessed remarkable progress in the image captioning task; however, most existing methods cannot control their captions, \emph{e.g.}, choosing to describe the…
Referring Expression Comprehension: A Survey of Methods and Datasets
Yanyuan Qiao, Chaorui Deng, Qi Wu
Referring expression comprehension (REC) aims to localize a target object in an image described by a referring expression phrased in natural language. Different from the object det…
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang, Ke Sun, Tianheng Cheng +9
High-resolution representations are essential for position-sensitive vision problems, such as human pose estimation, semantic segmentation, and object detection. Existing state-of-…
You Only Look & Listen Once: Towards Fast and Accurate Visual Grounding
Chaorui Deng, Qi Wu, Guanghui Xu +4
Visual Grounding (VG) aims to locate the most relevant region in an image, based on a flexible natural language query but not a pre-defined label, thus it can be a more useful tech…