3.2k citations · 12.3k across the 227 of their papers we have counts for
11 papers · 1 filter
Be Your Own Prada: Fashion Synthesis with Structural Coherence
Shizhan Zhu, Sanja Fidler, Raquel Urtasun +2
We present a novel and effective approach for generating new clothing on a wearer through generative adversarial learning. Given an input image of a person and a sentence describin…
Learning to Disambiguate by Asking Discriminative Questions
Yining Li, Chen Huang, Xiaoou Tang +1
The ability to ask questions is a powerful tool to gather information in order to learn about the world and resolve ambiguities. In this paper, we explore a novel problem of genera…
Quantifying Facial Age by Posterior of Age Comparisons
Yunxuan Zhang, Li Liu, Cheng Li +1
We introduce a novel approach for annotating large quantity of in-the-wild facial images with high-quality posterior age distribution as labels. Each posterior provides a probabili…
Video Object Segmentation with Re-identification
Xiaoxiao Li, Yuankai Qi, Zhe Wang +6
Conventional video segmentation methods often rely on temporal continuity to propagate masks. Such an assumption suffers from issues like drifting and inability to handle large dis…
Discover and Learn New Objects from Documentaries
Kai Chen, Hang Song, Chen Change Loy +1
Despite the remarkable progress in recent years, detecting objects in a new context remains a challenging task. Detectors learned from a public dataset can only work with a fixed l…
Merge or Not? Learning to Group Faces via Imitation Learning
Yue He, Kaidi Cao, Cheng Li +1
Given a large number of unlabeled face images, face grouping aims at clustering the images into individual identities present in the data. This task remains a challenging problem d…
Aesthetic-Driven Image Enhancement by Adversarial Learning
Yubin Deng, Chen Change Loy, Xiaoou Tang
We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement. Traditional image enhancement frameworks typically involve training models i…
Face Detection through Scale-Friendly Deep Convolutional Networks
Shuo Yang, Yuanjun Xiong, Chen Change Loy +1
In this paper, we share our experience in designing a convolutional network-based face detector that could handle faces of an extremely wide range of scales. We show that faces wit…
Not All Pixels Are Equal: Difficulty-aware Semantic Segmentation via Deep Layer Cascade
Xiaoxiao Li, Ziwei Liu, Ping Luo +2
We propose a novel deep layer cascade (LC) method to improve the accuracy and speed of semantic segmentation. Unlike the conventional model cascade (MC) that is composed of multipl…
Robust and Fast Decoding of High-Capacity Color QR Codes for Mobile Applications
Zhibo Yang, Huanle Xu, Jianyuan Deng +2
The use of color in QR codes brings extra data capacity, but also inflicts tremendous challenges on the decoding process due to chromatic distortion, cross-channel color interferen…
Faceness-Net: Face Detection through Deep Facial Part Responses
Shuo Yang, Ping Luo, Chen Change Loy +1
We propose a deep convolutional neural network (CNN) for face detection leveraging on facial attributes based supervision. We observe a phenomenon that part detectors emerge within…