Ming-Hsuan Yang

verfied profile

∙ 0 followers
University of California, Merced ∙ Nvidia

Professor at University of California, Merced; Visiting researcher at Google Cloud

Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications

Visual events are usually accompanied by sounds in our daily lives. Howe...
11/20/2019 ∙ by Arda Senocak, et al. ∙ 65 ∙ share

read it
Neural Design Network: Graphic Layout Generation with Constraints

Graphic design is essential for visual communication with layouts being ...
12/19/2019 ∙ by Hsin-Ying Lee, et al. ∙ 32 ∙ share

read it
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency

Unsupervised domain adaptation algorithms aim to transfer the knowledge ...
01/09/2020 ∙ by Yun-Chun Chen, et al. ∙ 29 ∙ share

read it
Inserting Videos into Videos

In this paper, we introduce a new problem of manipulating a given video ...
03/15/2019 ∙ by Donghoon Lee, et al. ∙ 24 ∙ share

read it
SCOPS: Self-Supervised Co-Part Segmentation

Parts provide a good intermediate representation of objects that is robu...
05/03/2019 ∙ by Wei-Chih Hung, et al. ∙ 18 ∙ share

read it
Visual Question Answering on 360° Images

In this work, we introduce VQA 360, a novel task of visual question answ...
01/10/2020 ∙ by Shih-Han Chou, et al. ∙ 15 ∙ share

read it
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Few-shot classification aims to recognize novel categories with only few...
01/23/2020 ∙ by Hung-Yu Tseng, et al. ∙ 15 ∙ share

read it
Progressive Domain Adaptation for Object Detection

Recent deep learning methods for object detection rely on a large amount...
10/24/2019 ∙ by Han-Kai Hsu, et al. ∙ 14 ∙ share

read it
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle

Recent advances in convolutional neural networks (CNNs) usually come wit...
02/19/2020 ∙ by Xin-Yu Zhang, et al. ∙ 13 ∙ share

read it
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments

Affordance modeling plays an important role in visual understanding. In ...
03/13/2019 ∙ by Xueting Li, et al. ∙ 12 ∙ share

read it
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Most conditional generation tasks expect diverse outputs given a single ...
03/13/2019 ∙ by Qi Mao, et al. ∙ 12 ∙ share

read it
Learning Linear Transformations for Fast Arbitrary Style Transfer

Given a random pair of images, an arbitrary style transfer method extrac...
08/14/2018 ∙ by Xueting Li, et al. ∙ 10 ∙ share

read it
Depth-Aware Video Frame Interpolation

Video frame interpolation aims to synthesize nonexistent frames in-betwe...
04/01/2019 ∙ by Wenbo Bao, et al. ∙ 10 ∙ share

read it
Joint-task Self-supervised Learning for Temporal Correspondence

This paper proposes to learn reliable dense correspondence from videos i...
09/26/2019 ∙ by Xueting Li, et al. ∙ 10 ∙ share

read it
Controllable and Progressive Image Extrapolation

Image extrapolation aims at expanding the narrow field of view of a give...
12/25/2019 ∙ by Yijun Li, et al. ∙ 9 ∙ share

read it
Im2Pencil: Controllable Pencil Illustration from Photographs

We propose a high-quality photo-to-pencil translation method with fine-g...
03/20/2019 ∙ by Yijun Li, et al. ∙ 8 ∙ share

read it
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations

Image-to-image translation aims to learn the mapping between two visual ...
05/02/2019 ∙ by Hsin-Ying Lee, et al. ∙ 8 ∙ share

read it
Learning Dual Convolutional Neural Networks for Low-Level Vision

In this paper, we propose a general dual convolutional neural network (D...
05/14/2018 ∙ by Jinshan Pan, et al. ∙ 6 ∙ share

read it
Superpixel Sampling Networks

Superpixels provide an efficient low/mid-level representation of image d...
07/26/2018 ∙ by Varun Jampani, et al. ∙ 6 ∙ share

read it
Physics-Based Generative Adversarial Models for Image Restoration and Beyond

We present an algorithm to directly solve numerous image restoration pro...
08/02/2018 ∙ by Jinshan Pan, et al. ∙ 6 ∙ share

read it
Learning Blind Video Temporal Consistency

Applying image processing algorithms independently to each frame of a vi...
08/01/2018 ∙ by Wei-Sheng Lai, et al. ∙ 6 ∙ share

read it
Context-Aware Synthesis and Placement ofObject Instances

Learning to insert an object instance into an image in a semantically co...
12/06/2018 ∙ by Donghoon Lee, et al. ∙ 6 ∙ share

read it
Detection and Tracking of Multiple Mice Using Part Proposal Networks

The study of mouse social behaviours has been increasingly undertaken in...
06/06/2019 ∙ by Zheheng Jiang, et al. ∙ 6 ∙ share

read it
Quadratic video interpolation

Video interpolation is an important problem in computer vision, which he...
11/02/2019 ∙ by Xiangyu Xu, et al. ∙ 5 ∙ share

read it
Diverse Image-to-Image Translation via Disentangled Representations

Image-to-image translation aims to learn the mapping between two visual ...
08/02/2018 ∙ by Hsin-Ying Lee, et al. ∙ 4 ∙ share

read it
Deep Attentive Tracking via Reciprocative Learning

Visual attention, derived from cognitive neuroscience, facilitates human...
10/09/2018 ∙ by Shi Pu, et al. ∙ 4 ∙ share

read it
Few-Shot Viewpoint Estimation

Viewpoint estimation for known categories of objects has been improved s...
05/13/2019 ∙ by Hung-Yu Tseng, et al. ∙ 4 ∙ share

read it
Referring Expression Object Segmentation with Caption-Aware Consistency

Referring expressions are natural language descriptions that identify a ...
10/10/2019 ∙ by Yi-Wen Chen, et al. ∙ 4 ∙ share

read it
A Fusion Approach for Multi-Frame Optical Flow Estimation

To date, top-performing optical flow estimation methods only take pairs ...
10/23/2018 ∙ by Zhile Ren, et al. ∙ 3 ∙ share

read it
Video Stitching for Linear Camera Arrays

Despite the long history of image and video stitching research, existing...
07/31/2019 ∙ by Wei-Sheng Lai, et al. ∙ 3 ∙ share

read it
Simultaneous Fidelity and Regularization Learning for Image Restoration

Most existing non-blind restoration methods are based on the assumption ...
04/12/2018 ∙ by Dongwei Ren, et al. ∙ 2 ∙ share

read it
Learning to Deblur Images with Exemplars

Human faces are one interesting object class with numerous applications....
05/15/2018 ∙ by Jinshan Pan, et al. ∙ 2 ∙ share

read it
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning

Weakly-supervised semantic segmentation is a challenging task as no pixe...
02/19/2020 ∙ by Xiang Wang, et al. ∙ 1 ∙ share

read it
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

Given two consecutive frames, video interpolation aims at generating int...
11/30/2017 ∙ by Huaizu Jiang, et al. ∙ 0 ∙ share

read it
Scene Parsing with Global Context Embedding

We present a scene parsing method that utilizes global context informati...
10/17/2017 ∙ by Wei-Chih Hung, et al. ∙ 0 ∙ share

read it
Progressive Representation Adaptation for Weakly Supervised Object Localization

We address the problem of weakly supervised object localization where on...
10/12/2017 ∙ by Dong Li, et al. ∙ 0 ∙ share

read it
Joint Image Filtering with Deep Convolutional Networks

Joint image filters leverage the guidance image as a prior and transfer ...
10/11/2017 ∙ by Yijun Li, et al. ∙ 0 ∙ share

read it
Tracking Persons-of-Interest via Unsupervised Representation Adaptation

Multi-face tracking in unconstrained videos is a challenging problem as ...
10/05/2017 ∙ by Shun Zhang, et al. ∙ 0 ∙ share

read it
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation

The aspect ratio variation frequently appears in visual tracking and has...
10/05/2017 ∙ by Feng Li, et al. ∙ 0 ∙ share

read it
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

Convolutional neural networks have recently demonstrated high-quality re...
10/04/2017 ∙ by Wei-Sheng Lai, et al. ∙ 0 ∙ share

read it
Visual Tracking via Learning Dynamic Patch-based Graph Representation

Existing visual tracking methods usually localize a target object with a...
10/04/2017 ∙ by Chenglong Li, et al. ∙ 0 ∙ share

read it
Learning Affinity via Spatial Propagation Networks

In this paper, we propose spatial propagation networks for learning the ...
10/03/2017 ∙ by Sifei Liu, et al. ∙ 0 ∙ share

read it
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow

This paper proposes an end-to-end trainable network, SegFlow, for simult...
09/20/2017 ∙ by Jingchun Cheng, et al. ∙ 0 ∙ share

read it
Learning to Segment Instances in Videos with Spatial Propagation Network

We propose a deep learning-based framework for instance-level object seg...
09/14/2017 ∙ by Jingchun Cheng, et al. ∙ 0 ∙ share

read it
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel

Video deblurring is a challenging problem as the blur is complex and usu...
08/11/2017 ∙ by Wenqi Ren, et al. ∙ 0 ∙ share

read it
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos

Despite rapid advances in face recognition, there remains a clear gap be...
08/07/2017 ∙ by Kihyuk Sohn, et al. ∙ 0 ∙ share

read it
Face Parsing via Recurrent Propagation

Face parsing is an important problem in computer vision that finds numer...
08/06/2017 ∙ by Sifei Liu, et al. ∙ 0 ∙ share

read it
Unsupervised Representation Learning by Sorting Sequences

We present an unsupervised representation learning approach using videos...
08/03/2017 ∙ by Hsin-Ying Lee, et al. ∙ 0 ∙ share

read it
Robust Visual Tracking via Hierarchical Convolutional Features

Visual tracking is challenging as target objects often undergo significa...
07/12/2017 ∙ by Chao Ma, et al. ∙ 0 ∙ share

read it
Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking

Object tracking is challenging as target objects often undergo drastic a...
07/07/2017 ∙ by Chao Ma, et al. ∙ 0 ∙ share

read it

Ming-Hsuan Yang

Featured Co-authors