34 citations · 46 across the 4 of their papers we have counts for
7 papers · 1 filter
HAD: Hallucination-Aware Diffusion Priors for 3D Reconstruction
Xi Liu, Weiwei Sun, Zhou Ren +3
Diffusion priors have recently demonstrated strong capability in enhancing the quality of sparse-view 3D reconstruction by augmenting training views at novel viewpoints, but they i…
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking
Yiding Yang, Zhou Ren, Haoxiang Li +3
Multi-person pose estimation and tracking serve as crucial steps for video understanding. Most state-of-the-art approaches rely on first estimating poses in each frame and only the…
3D Hand Shape and Pose Estimation from a Single RGB Image
Liuhao Ge, Zhou Ren, Yuncheng Li +4
This work addresses a novel and challenging problem of estimating the full 3D hand shape and pose from a single RGB image. Most current methods in 3D hand analysis from monocular R…
Streamlined Dense Video Captioning
Jonghwan Mun, Linjie Yang, Zhou Ren +2
Dense video captioning is an extremely challenging task since accurate and coherent description of events in a video requires holistic understanding of video contents as well as co…
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection
Hongyu Xu, Xutao Lv, Xiaoyu Wang +3
In this paper, we propose a novel object detection algorithm named "Deep Regionlets" by integrating deep neural networks and a conventional detection schema for accurate generic ob…
Adversarial Attacks and Defences Competition
Alexey Kurakin, Ian Goodfellow, Samy Bengio +20
To accelerate research on adversarial examples and robustness of machine learning classifiers, Google Brain organized a NIPS 2017 competition that encouraged researchers to develop…