12 citations · 31 across the 28 of their papers we have counts for
20 papers · 1 filter
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
Jingchen Fei, Zengbin Wang, Yukun Liu +3
Gait recognition has achieved remarkable progress, yet existing methods remain confined to rigid visual matching and often overlook the potential of natural language instructions f…
SemiTooth: a Generalizable Semi-supervised Framework for Multi-Source Tooth Segmentation
Muyi Sun, Yifan Gao, Ziang Jia +4
With the rapid advancement of artificial intelligence, intelligent dentistry for clinical diagnosis and treatment has become increasingly promising. As the primary clinical dentist…
RA-SSU: Towards Fine-Grained Audio-Visual Learning with Region-Aware Sound Source Understanding
Muyi Sun, Yixuan Wang, Hong Wang +5
Audio-Visual Learning (AVL) is one fundamental task of multi-modality learning and embodied intelligence, displaying the vital role in scene understanding and interaction. However,…
Learning Geometric Invariance for Gait Recognition
Zengbin Wang, Junjie Li, Saihui Hou +6
The goal of gait recognition is to extract identity-invariant features of an individual under various gait conditions, e.g., cross-view and cross-clothing. Most gait models strive…
ReMeREC: Relation-aware and Multi-entity Referring Expression Comprehension
Yizhi Hu, Zezhao Tian, Xingqun Qi +6
Referring Expression Comprehension (REC) aims to localize specified entities or regions in an image based on natural language descriptions. While existing methods handle single-ent…
VividListener: Expressive and Controllable Listener Dynamics Modeling for Multi-Modal Responsive Interaction
Shiying Li, Xingqun Qi, Bingkun Yang +6
Generating responsive listener head dynamics with nuanced emotions and expressive reactions is crucial for practical dialogue modeling in various virtual avatar animations. Previou…
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
Kun Yuan, Hongbo Liu, Mading Li +6
Video quality assessment (VQA) is a challenging problem due to the numerous factors that can affect the perceptual quality of a video, \eg, content attractiveness, distortion type,…
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric
Haokun Lin, Haoli Bai, Zhili Liu +5
Vision-language pre-trained models have achieved impressive performance on various downstream tasks. However, their large model sizes hinder their utilization on platforms with lim…
Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement
Xingqun Qi, Chen Liu, Muyi Sun +3
Predicting natural and diverse 3D hand gestures from the upper body dynamics is a practical yet challenging task in virtual avatar creation. Previous works usually overlook the asy…
HumanDiffusion: a Coarse-to-Fine Alignment Diffusion Framework for Controllable Text-Driven Person Image Generation
Kaiduo Zhang, Muyi Sun, Jianxin Sun +4
Text-driven person image generation is an emerging and challenging task in cross-modality image generation. Controllable person image generation promotes a wide range of applicatio…
Exploring Generalizable Distillation for Efficient Medical Image Segmentation
Xingqun Qi, Zhuojie Wu, Min Ren +3
Efficient medical image segmentation aims to provide accurate pixel-wise predictions for medical images with a lightweight implementation framework. However, lightweight frameworks…
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks
Zhuojie Wu, Xingqun Qi, Zijian Wang +4
Face inpainting aims to complete the corrupted regions of the face images, which requires coordination between the completed areas and the non-corrupted areas. Recently, memory-ori…
AnyFace: Free-style Text-to-Face Synthesis and Manipulation
Jianxin Sun, Qiyao Deng, Qi Li +3
Existing text-to-image synthesis methods generally are only applicable to words in the training dataset. However, human faces are so variable to be described with limited words. So…
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation
Wenxuan Zou, Muyi Sun
With the development of deep convolutional neural networks, medical image segmentation has achieved a series of breakthroughs in recent years. However, the high-performance convolu…
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis
Fan Ji, Muyi Sun, Xingqun Qi +2
Face sketch synthesis has been widely used in multi-media entertainment and law enforcement. Despite the recent developments in deep neural networks, accurate and realistic face sk…
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning
Xingqun Qi, Muyi Sun, Zijian Wang +5
Biphasic face photo-sketch synthesis has significant practical value in wide-ranging fields such as digital entertainment and law enforcement. Previous approaches directly generate…
Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning
Jianze Wei, Huaibo Huang, Muyi Sun +4
Iris segmentation is a deterministic part of the iris recognition system. Unreliable segmentation of iris regions especially the limbic area is still the bottleneck problem, which…
Self-supervised Correlation Mining Network for Person Image Generation
Zijian Wang, Xingqun Qi, Kun Yuan +1
Person image generation aims to perform non-rigid deformation on source images, which generally requires unaligned data pairs for training. Recently, self-supervised methods expres…
A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks
Muyi Sun, Jian Wang, Yunfan Liu +2
Biphasic facial age translation aims at predicting the appearance of the input face at any age. Facial age translation has received considerable research attention in the last deca…
Face Sketch Synthesis via Semantic-Driven Generative Adversarial Network
Xingqun Qi, Muyi Sun, Weining Wang +3
Face sketch synthesis has made significant progress with the development of deep neural networks in these years. The delicate depiction of sketch portraits facilitates a wide range…