Ming-Hsuan Yang

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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

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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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

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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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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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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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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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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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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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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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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

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Superpixel Sampling Networks

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

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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

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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

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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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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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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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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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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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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

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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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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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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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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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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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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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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

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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

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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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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

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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

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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

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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

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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

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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 Yingjie Yao, et al. ∙ 0 ∙ share

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Ming-Hsuan Yang

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