World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10023
World Ranking
7116
National Ranking
61

Overview

Min Sun is a researcher affiliated with National Tsing Hua University in Taiwan. Their work primarily spans the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Geology, and Radiology, Nuclear Medicine and Imaging.

The main topics that Min Sun has explored include:

  • 3D Surveying and Cultural Heritage
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Advanced Vision and Imaging
  • Generative Adversarial Networks and Image Synthesis
  • Multimodal Machine Learning Applications

Min Sun's publication record demonstrates contributions to a variety of academic venues. The most frequent outlets for their work are:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Semiconductor Manufacturing
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some recent notable papers by Min Sun include:

  • "Monocular Quasi-Dense 3D Object Tracking," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "InstaNAS: Instance-Aware Neural Architecture Search," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "BiFuse++: Self-Supervised and Efficient Bi-Projection Fusion for 360° Depth Estimation," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Learning 3D Dense Correspondence via Canonical Point Autoencoder," 2021, arXiv (Cornell University)

Collaborations have been a part of Min Sun's research activities, with frequent co-authors including Ming-Hsuan Yang, Fu-En Wang, Yi-Hsuan Tsai, Yuan-Fu Yang, and Chun-Hung Chao. These collaborations indicate active engagement within the research community in advancing topics related to computer vision and artificial intelligence.

Best Publications

  • Make3D: Learning 3D Scene Structure from a Single Still Image

    A. Saxena;Min Sun;A.Y. Ng

  • Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction

    Cheng Sun;Min Sun;Hwann-Tzong Chen

  • Tactics of Adversarial Attack on Deep Reinforcement Learning Agents.

    Yen-Chen Lin;Zhang-Wei Hong;Yuan-Hong Liao;Meng-Li Shih

  • No More Discrimination: Cross City Adaptation of Road Scene Segmenters

    Yi-Hsin Chen;Wei-Yu Chen;Yu-Ting Chen;Bo-Cheng Tsai

  • A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss

    Wan Ting Hsu;Chieh-Kai Lin;Ming-Ying Lee;Kerui Min

  • Learning 3-D Scene Structure from a Single Still Image

    A. Saxena;Min Sun;A.Y. Ng

  • Articulated part-based model for joint object detection and pose estimation

    Min Sun;Silvio Savarese

  • Joint Monocular 3D Vehicle Detection and Tracking

    Hou-Ning Hu;Qi-Zhi Cai;Dequan Wang;Ji Lin

  • Anticipating Accidents in Dashcam Videos

    Fu-Hsiang Chan;Yu-Ting Chen;Yu Xiang;Min Sun

  • Conditional regression forests for human pose estimation

    Min Sun;Pushmeet Kohli;Jamie Shotton

  • Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories

    Hao Su;Min Sun;Li Fei-Fei;Silvio Savarese

  • Ranking Domain-Specific Highlights by Analyzing Edited Videos

    Min Sun;Ali Farhadi;Steven M. Seitz

  • Deep 360 Pilot: Learning a Deep Agent for Piloting through 360° Sports Videos

    Hou-Ning Hu;Yen-Chen Lin;Ming-Yu Liu;Hsien-Tzu Cheng

  • Cube Padding for Weakly-Supervised Saliency Prediction in 360° Videos

    Hsien-Tzu Cheng;Chun-Hung Chao;Jin-Dong Dong;Hao-Kai Wen

  • HorizonNet: Learning Room Layout With 1D Representation and Pano Stretch Data Augmentation

    Cheng Sun;Chi-Wei Hsiao;Min Sun;Hwann-Tzong Chen

  • DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures

    Jin-Dong Dong;An-Chieh Cheng;Da-Cheng Juan;Wei Wei

  • BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion

    Fu-En Wang;Yu-Hsuan Yeh;Min Sun;Wei-Chen Chiu

  • Show, Adapt and Tell: Adversarial Training of Cross-Domain Image Captioner

    Tseng-Hung Chen;Yuan-Hong Liao;Ching-Yao Chuang;Wan-Ting Hsu

  • Leveraging Video Descriptions to Learn Video Question Answering

    Kuo-Hao Zeng;Tseng-Hung Chen;Ching-Yao Chuang;Yuan-Hong Liao

  • Depth-encoded hough voting for joint object detection and shape recovery

    Min Sun;Gary Bradski;Bing-Xin Xu;Silvio Savarese

  • Joint Monocular 3D Vehicle Detection and Tracking.

    Hou-Ning Hu;Qi-Zhi Cai;Dequan Wang;Ji Lin

  • Cube Padding for Weakly-Supervised Saliency Prediction in 360{\deg} Videos

    Hsien-Tzu Cheng;Chun-Hung Chao;Jin-Dong Dong;Hao-Kai Wen

Frequent Co-Authors

Silvio Savarese
Silvio Savarese Stanford University
Juan Carlos Niebles
Juan Carlos Niebles Stanford University
Ming-Yu Liu
Ming-Yu Liu Nvidia (United States)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Jianlong Fu
Jianlong Fu Microsoft (United States)
Ali Farhadi
Ali Farhadi University of Washington
Andrew Y. Ng
Andrew Y. Ng Stanford University
Ashutosh Saxena
Ashutosh Saxena Cornell University
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Le Lu
Le Lu Alibaba Group (China)

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