31 citations · 321 across the 45 of their papers we have counts for
45 papers
Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation
Hanbing Liu, Wangmeng Xiang, Jun-Yan He +4
Accurately estimating the 3D pose of humans in video sequences requires both accuracy and a well-structured architecture. With the success of transformers, we introduce the Refined…
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
Junwen He, Yifan Wang, Lijun Wang +6
Depth-aware panoptic segmentation is an emerging topic in computer vision which combines semantic and geometric understanding for more robust scene interpretation. Recent works pur…
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
Tao Yang, Rongyuan Wu, Peiran Ren +2
Diffusion models have demonstrated impressive performance in various image generation, editing, enhancement and translation tasks. In particular, the pre-trained text-to-image stab…
TransFace++: Rethinking the Face Recognition Paradigm with a Focus on Accuracy, Efficiency, and Security
Jun Dan, Yang Liu, Baigui Sun +2
Face Recognition (FR) technology has made significant strides with the emergence of deep learning. Typically, most existing FR models are built upon Convolutional Neural Networks (…
PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation
Hanbing Liu, Jun-Yan He, Zhi-Qi Cheng +8
Existing 3D human pose estimators face challenges in adapting to new datasets due to the lack of 2D-3D pose pairs in training sets. To overcome this issue, we propose \textit{Multi…
CostFormer:Cost Transformer for Cost Aggregation in Multi-view Stereo
Weitao Chen, Hongbin Xu, Zhipeng Zhou +4
The core of Multi-view Stereo(MVS) is the matching process among reference and source pixels. Cost aggregation plays a significant role in this process, while previous methods focu…
KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration
Xu Bao, Zhi-Qi Cheng, Jun-Yan He +8
Accurate facial landmark detection is critical for facial analysis tasks, yet prevailing heatmap and coordinate regression methods grapple with prohibitive computational costs and…
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness
Yuxuan Zhou, Zhi-Qi Cheng, Jun-Yan He +3
Graph Convolutional Networks (GCNs) have long defined the state-of-the-art in skeleton-based action recognition, leveraging their ability to unravel the complex dynamics of human j…
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
Junjie He, Pengyu Li, Yifeng Geng +1
Recent attention in instance segmentation has focused on query-based models. Despite being non-maximum suppression (NMS)-free and end-to-end, the superiority of these models on hig…
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
Biwen Lei, Jianqiang Ren, Mengyang Feng +2
Limited by the nature of the low-dimensional representational capacity of 3DMM, most of the 3DMM-based face reconstruction (FR) methods fail to recover high-frequency facial detail…
Synthesizing Realistic Image Restoration Training Pairs: A Diffusion Approach
Tao Yang, Peiran Ren, Xuansong xie +1
In supervised image restoration tasks, one key issue is how to obtain the aligned high-quality (HQ) and low-quality (LQ) training image pairs. Unfortunately, such HQ-LQ training pa…
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +5
Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that has yet to be thoroughly explored in existing research. To address this gap, we presen…
RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters
Wenqi Ouyang, Yi Dong, Xiaoyang Kang +3
Retouching images is an essential aspect of enhancing the visual appeal of photos. Although users often share common aesthetic preferences, their retouching methods may vary based…
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
Hanyuan Chen, Jun-Yan He, Wangmeng Xiang +6
Human pose estimation is a challenging task due to its structured data sequence nature. Existing methods primarily focus on pair-wise interaction of body joints, which is insuffici…
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
Lei Shang, Mouxiao Huang, Wu Shi +6
Data uncertainty is commonly observed in the images for face recognition (FR). However, deep learning algorithms often make predictions with high confidence even for uncertain or i…
DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
Xiaoyang Kang, Tao Yang, Wenqi Ouyang +3
Image colorization is a challenging problem due to multi-modal uncertainty and high ill-posedness. Directly training a deep neural network usually leads to incorrect semantic color…
Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All-in-One Classifier
Zelin Zang, Lei Shang, Senqiao Yang +4
Unsupervised domain adaptation (UDA) has proven to be highly effective in transferring knowledge from a label-rich source domain to a label-scarce target domain. However, the prese…
Hypergraph Transformer for Skeleton-based Action Recognition
Yuxuan Zhou, Zhi-Qi Cheng, Chao Li +4
Skeleton-based action recognition aims to recognize human actions given human joint coordinates with skeletal interconnections. By defining a graph with joints as vertices and thei…
LongShortNet: Exploring Temporal and Semantic Features Fusion in Streaming Perception
Chenyang Li, Zhi-Qi Cheng, Jun-Yan He +6
Streaming perception is a critical task in autonomous driving that requires balancing the latency and accuracy of the autopilot system. However, current methods for streaming perce…
ProContEXT: Exploring Progressive Context Transformer for Tracking
Jin-Peng Lan, Zhi-Qi Cheng, Jun-Yan He +6
Existing Visual Object Tracking (VOT) only takes the target area in the first frame as a template. This causes tracking to inevitably fail in fast-changing and crowded scenes, as i…
Towards Counterfactual Image Manipulation via CLIP
Yingchen Yu, Fangneng Zhan, Rongliang Wu +6
Leveraging StyleGAN's expressivity and its disentangled latent codes, existing methods can achieve realistic editing of different visual attributes such as age and gender of facial…
DCT-Net: Domain-Calibrated Translation for Portrait Stylization
Yifang Men, Yuan Yao, Miaomiao Cui +2
This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization. Given limited style exemplars (100), the new architecture can produce…
Improving Nighttime Driving-Scene Segmentation via Dual Image-adaptive Learnable Filters
Wenyu Liu, Wentong Li, Jianke Zhu +3
Semantic segmentation on driving-scene images is vital for autonomous driving. Although encouraging performance has been achieved on daytime images, the performance on nighttime im…
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li, Kai Zhang, Radu Timofte +108
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…