Ming-Hsuan Yang

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University of California, Merced ∙ Nvidia

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

Featured Co-authors

Yang Liu
344 publications
Chunhua Shen
258 publications
Wei Liu
243 publications
Lei Zhang
239 publications
Jiashi Feng
162 publications
Liang Lin
159 publications
Xin Li
139 publications
Qi Tian
131 publications
Dong Wang
127 publications
Ling Shao
127 publications
Shuicheng Yan
126 publications

Regularizing Meta-Learning via Gradient Dropout

With the growing attention on learning-to-learn new tasks using only a f...
04/13/2020 ∙ by Hung-Yu Tseng, et al. ∙ 34 ∙ share

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Learning to See Through Obstructions

We present a learning-based approach for removing unwanted obstructions,...
04/02/2020 ∙ by Yu-Lun Liu, et al. ∙ 23 ∙ share

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Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline

Recovering a high dynamic range (HDR) image from a single low dynamic ra...
04/02/2020 ∙ by Yu-Lun Liu, et al. ∙ 13 ∙ share

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Deep Semantic Matching with Foreground Detection and Cycle-Consistency

Establishing dense semantic correspondences between object instances rem...
03/31/2020 ∙ by Yun-Chun Chen, et al. ∙ 3 ∙ share

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TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge

Real-time semantic video segmentation is a challenging task due to the s...
03/30/2020 ∙ by Junyi Feng, et al. ∙ 15 ∙ share

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Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective

Object frequency in the real world often follows a power law, leading to...
03/24/2020 ∙ by Muhammad Abdullah Jamal, et al. ∙ 5 ∙ share

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Collaborative Distillation for Ultra-Resolution Universal Style Transfer

Universal style transfer methods typically leverage rich representations...
03/18/2020 ∙ by Huan Wang, et al. ∙ 9 ∙ share

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CycleISP: Real Image Restoration via Improved Data Synthesis

The availability of large-scale datasets has helped unleash the true pot...
03/17/2020 ∙ by Syed Waqas Zamir, et al. ∙ 14 ∙ share

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Learning Enriched Features for Real Image Restoration and Enhancement

With the goal of recovering high-quality image content from its degraded...
03/15/2020 ∙ by Syed Waqas Zamir, et al. ∙ 11 ∙ share

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Self-supervised Single-view 3D Reconstruction via Semantic Consistency

We learn a self-supervised, single-view 3D reconstruction model that pre...
03/13/2020 ∙ by Xueting Li, et al. ∙ 10 ∙ share

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Gated Fusion Network for Degraded Image Super Resolution

Single image super resolution aims to enhance image quality with respect...
03/02/2020 ∙ by Xinyi Zhang, et al. ∙ 6 ∙ share

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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

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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

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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

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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

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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

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RC-DARTS: Resource Constrained Differentiable Architecture Search

Recent advances show that Neural Architectural Search (NAS) method is ab...
12/30/2019 ∙ by Xiaojie Jin, et al. ∙ 0 ∙ share

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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

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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

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Adversarial Learning of Privacy-Preserving and Task-Oriented Representations

Data privacy has emerged as an important issue as data-driven deep learn...
11/22/2019 ∙ by Taihong Xiao, et al. ∙ 0 ∙ share

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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

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Dancing to Music

Dancing to music is an instinctive move by humans. Learning to model the...
11/05/2019 ∙ by Hsin-Ying Lee, et al. ∙ 0 ∙ share

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Quadratic video interpolation

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

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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

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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

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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

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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

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Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation

We present an approach for jointly matching and segmenting object instan...
06/13/2019 ∙ by Yun-Chun Chen, et al. ∙ 0 ∙ share

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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

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Self-supervised Audio Spatialization with Correspondence Classifier

Spatial audio is an essential medium to audiences for 3D visual and audi...
05/14/2019 ∙ by Yu-Ding Lu, et al. ∙ 0 ∙ share

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Weakly-supervised Caricature Face Parsing through Domain Adaptation

A caricature is an artistic form of a person's picture in which certain ...
05/13/2019 ∙ by Wenqing Chu, et al. ∙ 0 ∙ share

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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

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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

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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

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Target-Aware Deep Tracking

Existing deep trackers mainly use convolutional neural networks pre-trai...
04/03/2019 ∙ by Xin Li, et al. ∙ 0 ∙ share

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Res2Net: A New Multi-scale Backbone Architecture

Representing features at multiple scales is of great importance for nume...
04/02/2019 ∙ by Shang-Hua Gao, et al. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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Online Multi-Object Tracking with Dual Matching Attention Networks

In this paper, we propose an online Multi-Object Tracking (MOT) approach...
02/02/2019 ∙ by Ji Zhu, et al. ∙ 0 ∙ share

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Unseen Object Segmentation in Videos via Transferable Representations

In order to learn object segmentation models in videos, conventional met...
01/08/2019 ∙ by Yi-Wen Chen, et al. ∙ 0 ∙ share

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PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection

In saliency detection, every pixel needs contextual information to make ...
12/15/2018 ∙ by Nian Liu, et al. ∙ 0 ∙ share

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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

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Context-Aware Synthesis and Placement of Object Instances

Learning to insert an object instance into an image in a semantically co...
12/06/2018 ∙ by Donghoon Lee, et al. ∙ 0 ∙ share

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Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement

We address the problem of restoring a high-resolution face image from a ...
11/22/2018 ∙ by Yibing Song, et al. ∙ 0 ∙ share

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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

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MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

Motion estimation (ME) and motion compensation (MC) have been widely use...
10/20/2018 ∙ by Wenbo Bao, et al. ∙ 0 ∙ share

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Deep Attentive Tracking via Reciprocative Learning

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

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