1.2k citations · 3k across the 74 of their papers we have counts for
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GeoNet++: Iterative Geometric Neural Network with Edge-Aware Refinement for Joint Depth and Surface Normal Estimation
Xiaojuan Qi, Zhengzhe Liu, Renjie Liao +3
In this paper, we propose a geometric neural network with edge-aware refinement (GeoNet++) to jointly predict both depth and surface normal maps from a single image. Building on to…
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud
Mutian Xu, Junhao Zhang, Zhipeng Zhou +3
In 2D image processing, some attempts decompose images into high and low frequency components for describing edge and smooth parts respectively. Similarly, the contour and flat are…
Fully Convolutional Networks for Panoptic Segmentation
Yanwei Li, Hengshuang Zhao, Xiaojuan Qi +4
In this paper, we present a conceptually simple, strong, and efficient framework for panoptic segmentation, called Panoptic FCN. Our approach aims to represent and predict foregrou…
Object-aware Feature Aggregation for Video Object Detection
Qichuan Geng, Hong Zhang, Na Jiang +3
We present an Object-aware Feature Aggregation (OFA) module for video object detection (VID). Our approach is motivated by the intriguing property that video-level object-aware kno…
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation
Bowen Li, Xiaojuan Qi, Philip H. S. Torr +1
We propose a novel lightweight generative adversarial network for efficient image manipulation using natural language descriptions. To achieve this, a new word-level discriminator…
Global Texture Enhancement for Fake Face Detection in the Wild
Zhengzhe Liu, Xiaojuan Qi, Philip Torr
Generative Adversarial Networks (GANs) can generate realistic fake face images that can easily fool human beings.On the contrary, a common Convolutional Neural Network(CNN) discrim…
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
Hao Tang, Xiaojuan Qi, Guolei Sun +4
We propose a novel ECGAN for the challenging semantic image synthesis task. Although considerable improvement has been achieved, the quality of synthesized images is far from satis…
Image-to-Image Translation with Text Guidance
Bowen Li, Xiaojuan Qi, Philip H. S. Torr +1
The goal of this paper is to embed controllable factors, i.e., natural language descriptions, into image-to-image translation with generative adversarial networks, which allows tex…
Gated Path Selection Network for Semantic Segmentation
Qichuan Geng, Hong Zhang, Xiaojuan Qi +3
Semantic segmentation is a challenging task that needs to handle large scale variations, deformations and different viewpoints. In this paper, we develop a novel network named Gate…
Unifying Training and Inference for Panoptic Segmentation
Qizhu Li, Xiaojuan Qi, Philip H. S. Torr
We present an end-to-end network to bridge the gap between training and inference pipeline for panoptic segmentation, a task that seeks to partition an image into semantic regions…
Few-shot Action Recognition with Permutation-invariant Attention
Hongguang Zhang, Li Zhang, Xiaojuan Qi +3
Many few-shot learning models focus on recognising images. In contrast, we tackle a challenging task of few-shot action recognition from videos. We build on a C3D encoder for spati…