794 citations · 3k across the 88 of their papers we have counts for
8 papers · 1 filter
Peephole: Predicting Network Performance Before Training
Boyang Deng, Junjie Yan, Dahua Lin
The quest for performant networks has been a significant force that drives the advancements of deep learning in recent years. While rewarding, improving network design has never be…
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…
Contrastive Learning for Image Captioning
Bo Dai, Dahua Lin
Image captioning, a popular topic in computer vision, has achieved substantial progress in recent years. However, the distinctiveness of natural descriptions is often overlooked in…
Scalable Estimation of Dirichlet Process Mixture Models on Distributed Data
Ruohui Wang, Dahua Lin
We consider the estimation of Dirichlet Process Mixture Models (DPMMs) in distributed environments, where data are distributed across multiple computing nodes. A key advantage of B…
Integrating Specialized Classifiers Based on Continuous Time Markov Chain
Zhizhong Li, Dahua Lin
Specialized classifiers, namely those dedicated to a subset of classes, are often adopted in real-world recognition systems. However, integrating such classifiers is nontrivial. Ex…
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…