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20172023
most citedDomain Enhanced Arbitrary Image Style Transfer via Contrastive Learning

209 citations · 588 across the 38 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.CV2019★ 13 cited

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning

Albert Zhao, Tong He, Yitao Liang +3

We describe a policy learning approach to map visual inputs to driving controls conditioned on turning command that leverages side tasks on semantics and object affordances via a l…

cs.CV2019★ 37 cited

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

Yisheng He, Wei Sun, Haibin Huang +3

In this work, we present a novel data-driven method for robust 6DoF object pose estimation from a single RGBD image. Unlike previous methods that directly regressing pose parameter…

cs.CV2019★ 8 cited

Disentangled Image Matting

Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan +6

Most previous image matting methods require a roughly-specificed trimap as input, and estimate fractional alpha values for all pixels that are in the unknown region of the trimap.…

cs.CV2019★ 5 cited

Semi-supervised Skin Detection by Network with Mutual Guidance

Yi He, Jiayuan Shi, Chuan Wang +5

In this paper we present a new data-driven method for robust skin detection from a single human portrait image. Unlike previous methods, we incorporate human body as a weak semanti…

cs.CV2019★ 14 cited

Frame-Recurrent Video Inpainting by Robust Optical Flow Inference

Yifan Ding, Chuan Wang, Haibin Huang +3

In this paper, we present a new inpainting framework for recovering missing regions of video frames. Compared with image inpainting, performing this task on video presents new chal…

cs.CV2019★ 5 cited

Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation

Jiaming Liu, Chi-Hao Wu, Yuzhi Wang +8

In this paper, we present new data pre-processing and augmentation techniques for DNN-based raw image denoising. Compared with traditional RGB image denoising, performing this task…

cs.CV2019★ 17 cited

When AWGN-based Denoiser Meets Real Noises

Yuqian Zhou, Jianbo Jiao, Haibin Huang +4

Discriminative learning-based image denoisers have achieved promising performance on synthetic noises such as Additive White Gaussian Noise (AWGN). The synthetic noises adopted in…

cs.CV2019

GeoNet: Deep Geodesic Networks for Point Cloud Analysis

Tong He, Haibin Huang, Li Yi +4

Surface-based geodesic topology provides strong cues for object semantic analysis and geometric modeling. However, such connectivity information is lost in point clouds. Thus we in…

cs.CV2019

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

Yang Wang, Haibin Huang, Chuan Wang +3

Graphics Interchange Format (GIF) is a highly portable graphics format that is ubiquitous on the Internet. Despite their small sizes, GIF images often contain undesirable visual ar…