325 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Alibaba Group (United States)US30 papers
- Microsoft (United States)US20 papers
- University of OxfordGB19 papers
- Alibaba Group (China)CN14 papers
- Goddard Space Flight CenterUS14 papers
- Massachusetts Institute of TechnologyUS14 papers
- Search for Extraterrestrial IntelligenceUS14 papers
- Eötvös Loránd UniversityHU13 papers
- HUN-REN Research Centre for Astronomy and Earth SciencesHU13 papers
- Konkoly ObservatoryHU13 papers
- University of SzegedHU13 papers
- Tencent (China)CN12 papers
17 papers · 1 filter
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
Bo Sun, Hao Kang, Li Guan +3
We present a deep learning model, dubbed Glissando-Net, to simultaneously estimate the pose and reconstruct the 3D shape of objects at the category level from a single RGB image. P…
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
Yonghao Dong, Le Wang, Sanping Zhou +2
Pedestrian trajectory prediction is a crucial component in computer vision and robotics, but remains challenging due to the domain shift problem. Previous studies have tried to tac…
UGG: Unified Generative Grasping
Jiaxin Lu, Hao Kang, Haoxiang Li +4
Dexterous grasping aims to produce diverse grasping postures with a high grasping success rate. Regression-based methods that directly predict grasping parameters given the object…
Diffusion-based Document Layout Generation
Liu He, Yijuan Lu, John Corring +2
We develop a diffusion-based approach for various document layout sequence generation. Layout sequences specify the contents of a document design in an explicit format. Our novel d…
Learning the Relation between Similarity Loss and Clustering Loss in Self-Supervised Learning
Jidong Ge, Yuxiang Liu, Jie Gui +5
Self-supervised learning enables networks to learn discriminative features from massive data itself. Most state-of-the-art methods maximize the similarity between two augmentations…
Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy
Mehrnaz Sabet, Praveen Palanisamy, Sakshi Mishra
One major barrier to advancing aerial autonomy has been collecting large-scale aerial datasets for training machine learning models. Due to costly and time-consuming real-world dat…
TransRPPG: Remote Photoplethysmography Transformer for 3D Mask Face Presentation Attack Detection
Zitong Yu, Xiaobai Li, Pichao Wang +1
3D mask face presentation attack detection (PAD) plays a vital role in securing face recognition systems from emergent 3D mask attacks. Recently, remote photoplethysmography (rPPG)…
Trear: Transformer-based RGB-D Egocentric Action Recognition
Xiangyu Li, Yonghong Hou, Pichao Wang +3
In this paper, we propose a \textbf{Tr}ansformer-based RGB-D \textbf{e}gocentric \textbf{a}ction \textbf{r}ecognition framework, called Trear. It consists of two modules, inter-fra…
Transformer Guided Geometry Model for Flow-Based Unsupervised Visual Odometry
Xiangyu Li, Yonghong Hou, Pichao Wang +3
Existing unsupervised visual odometry (VO) methods either match pairwise images or integrate the temporal information using recurrent neural networks over a long sequence of images…
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Yuanhao Zhai, Le Wang, Wei Tang +3
Weakly-supervised Temporal Action Localization (W-TAL) aims to classify and localize all action instances in an untrimmed video under only video-level supervision. However, without…
Improving Person Re-identification with Iterative Impression Aggregation
Dengpan Fu, Bo Xin, Jingdong Wang +4
Our impression about one person often updates after we see more aspects of him/her and this process keeps iterating given more meetings. We formulate such an intuition into the pro…
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition
Zitong Yu, Benjia Zhou, Jun Wan +5
Gesture recognition has attracted considerable attention owing to its great potential in applications. Although the great progress has been made recently in multi-modal learning me…
Improving One-stage Visual Grounding by Recursive Sub-query Construction
Zhengyuan Yang, Tianlang Chen, Liwei Wang +1
We improve one-stage visual grounding by addressing current limitations on grounding long and complex queries. Existing one-stage methods encode the entire language query as a sing…
Comprehensive Image Captioning via Scene Graph Decomposition
Yiwu Zhong, Liwei Wang, Jianshu Chen +2
We address the challenging problem of image captioning by revisiting the representation of image scene graph. At the core of our method lies the decomposition of a scene graph into…
Face Super-Resolution Guided by 3D Facial Priors
Xiaobin Hu, Wenqi Ren, John LaMaster +5
State-of-the-art face super-resolution methods employ deep convolutional neural networks to learn a mapping between low- and high- resolution facial patterns by exploring local app…
Efficient Super Resolution For Large-Scale Images Using Attentional GAN
Harsh Nilesh Pathak, Xinxin Li, Shervin Minaee +1
Single Image Super Resolution (SISR) is a well-researched problem with broad commercial relevance. However, most of the SISR literature focuses on small-size images under 500px, wh…
A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes
Yang Zhang, Philip David, Hassan Foroosh +1
During the last half decade, convolutional neural networks (CNNs) have triumphed over semantic segmentation, which is one of the core tasks in many applications such as autonomous…