429 citations · 611 across the 14 of their papers we have counts for
8 papers · 1 filter
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi, Xiaolong Wang, Deepak Pathak +2
Learning long-term dynamics models is the key to understanding physical common sense. Most existing approaches on learning dynamics from visual input sidestep long-term predictions…
From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback
Xinru Yang, Haozhi Qi, Mingyang Li +1
Facial image retrieval plays a significant role in forensic investigations where an untrained witness tries to identify a suspect from a massive pool of images. However, due to the…
Deep Isometric Learning for Visual Recognition
Haozhi Qi, Chong You, Xiaolong Wang +2
Initialization, normalization, and skip connections are believed to be three indispensable techniques for training very deep convolutional neural networks and obtaining state-of-th…
NeurVPS: Neural Vanishing Point Scanning via Conic Convolution
Yichao Zhou, Haozhi Qi, Jingwei Huang +1
We present a simple yet effective end-to-end trainable deep network with geometry-inspired convolutional operators for detecting vanishing points in images. Traditional convolution…
Learning to Reconstruct 3D Manhattan Wireframes from a Single Image
Yichao Zhou, Haozhi Qi, Yuexiang Zhai +4
In this paper, we propose a method to obtain a compact and accurate 3D wireframe representation from a single image by effectively exploiting global structural regularities. Our me…
End-to-End Wireframe Parsing
Yichao Zhou, Haozhi Qi, Yi Ma
We present a conceptually simple yet effective algorithm to detect wireframes in a given image. Compared to the previous methods which first predict an intermediate heat map and th…
Deformable Convolutional Networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong +4
Convolutional neural networks (CNNs) are inherently limited to model geometric transformations due to the fixed geometric structures in its building modules. In this work, we intro…
Fully Convolutional Instance-aware Semantic Segmentation
Yi Li, Haozhi Qi, Jifeng Dai +2
We present the first fully convolutional end-to-end solution for instance-aware semantic segmentation task. It inherits all the merits of FCNs for semantic segmentation and instanc…