b'Min Sun'

research

∙ 03/16/2022

Data Efficient 3D Learner via Knowledge Transferred from 2D Model

Collecting and labeling the registered 3D point cloud is costly. As a re...

Ping-Chung Yu, et al. ∙

research

∙ 02/01/2022

CLA-NeRF: Category-Level Articulated Neural Radiance Field

We propose CLA-NeRF – a Category-Level Articulated Neural Radiance Field...

Wei-Cheng Tseng, et al. ∙

research

∙ 12/14/2021

Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module

Designing an effective communication mechanism among agents in reinforce...

Wei-Cheng Tseng, et al. ∙

research

∙ 12/12/2021

360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation

We present 360-DFPE, a sequential floor plan estimation method that dire...

Bolivar Solarte, et al. ∙

research

∙ 12/01/2021

Leveraging Sequence Embedding and Convolutional Neural Network for Protein Function Prediction

The capability of accurate prediction of protein functions and propertie...

Wei-Cheng Tseng, et al. ∙

research

∙ 11/22/2021

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

We present a super-fast convergence approach to reconstructing the per-s...

Cheng Sun, et al. ∙

research

∙ 08/04/2021

Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation

We present a novel pyramidal output representation to ensure parsimony w...

Chi-Wei Hsiao, et al. ∙

research

∙ 06/27/2021

Indoor Panorama Planar 3D Reconstruction via Divide and Conquer

Indoor panorama typically consists of human-made structures parallel or ...

Cheng Sun, et al. ∙

research

∙ 04/22/2021

Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images

This paper presents a novel preconditioning strategy for the classic 8-p...

Bolivar Solarte, et al. ∙

research

∙ 04/01/2021

LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering

Although significant progress has been made in room layout estimation, m...

Fu-En Wang, et al. ∙

research

∙ 03/04/2021

Toward Robust Long Range Policy Transfer

Humans can master a new task within a few trials by drawing upon skills ...

Wei-Cheng Tseng, et al. ∙

research

∙ 12/12/2020

Interactive Radiotherapy Target Delineation with 3D-Fused Context Propagation

Gross tumor volume (GTV) delineation on tomography medical imaging is cr...

Chun-Hung Chao, et al. ∙

research

∙ 11/23/2020

HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features

We present HoHoNet, a versatile and efficient framework for holistic und...

Cheng Sun, et al. ∙

research

∙ 08/29/2020

Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network

Determining the spread of GTV_LN is essential in defining the respective...

Chun-Hung Chao, et al. ∙

research

∙ 03/30/2020

LayoutMP3D: Layout Annotation of Matterport3D

Inferring the information of 3D layout from a single equirectangular pan...

Fu-En Wang, et al. ∙

research

∙ 01/10/2020

Visual Question Answering on 360° Images

In this work, we introduce VQA 360, a novel task of visual question answ...

Shih-Han Chou, et al. ∙

research

∙ 11/18/2019

Bias-Aware Heapified Policy for Active Learning

The data efficiency of learning-based algorithms is more and more import...

Wen-Yen Chang, et al. ∙

research

∙ 11/11/2019

360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume

Recently, end-to-end trainable deep neural networks have significantly i...

Ning-Hsu Wang, et al. ∙

research

∙ 10/29/2019

Autonomous UAV Landing System Based on Visual Navigation

In this paper, we present an autonomous unmanned aerial vehicle (UAV) la...

Zhixin Wu, et al. ∙

research

∙ 10/03/2019

360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images

While there are several widely used object detection datasets, current c...

Shih-Han Chou, et al. ∙

research

∙ 05/29/2019

Flat2Layout: Flat Representation for Estimating Layout of General Room Types

This paper proposes a new approach, Flat2Layout, for estimating general ...

Chi-Wei Hsiao, et al. ∙

research

∙ 04/05/2019

Radiotherapy Target Contouring with Convolutional Gated Graph Neural Network

Tomography medical imaging is essential in the clinical workflow of mode...

Chun-Hung Chao, et al. ∙

research

∙ 04/05/2019

3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization

The complementary characteristics of active and passive depth sensing te...

Tsun-Hsuan Wang, et al. ∙

research

∙ 04/05/2019

Point-to-Point Video Generation

While image manipulation achieves tremendous breakthroughs (e.g., genera...

Tsun-Hsuan Wang, et al. ∙

research

∙ 03/25/2019

Learning a Multi-Modal Policy via Imitating Demonstrations with Mixed Behaviors

We propose a novel approach to train a multi-modal policy from mixed dem...

Fang-I Hsiao, et al. ∙

research

∙ 01/12/2019

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

We present a new approach to the problem of estimating 3D room layout fr...

Cheng Sun, et al. ∙

research

∙ 11/29/2018

DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama

We present a deep learning framework, called DuLa-Net, to predict Manhat...

Shang-Ta Yang, et al. ∙

research

∙ 11/26/2018

Joint Monocular 3D Vehicle Detection and Tracking

3D vehicle detection and tracking from a monocular camera requires detec...

Hou-Ning Hu, et al. ∙

research

∙ 11/26/2018

InstaNAS: Instance-aware Neural Architecture Search

Neural Architecture Search (NAS) aims at finding one "single" architectu...

An-Chieh Cheng, et al. ∙

research

∙ 11/13/2018

Self-Supervised Learning of Depth and Camera Motion from 360° Videos

As 360 cameras become prevalent in many autonomous systems (e.g., self-d...

Fu-En Wang, et al. ∙

research

∙ 09/11/2018

Unsupervised Stylish Image Description Generation via Domain Layer Norm

Most of the existing works on image description focus on generating expr...

Cheng Kuan Chen, et al. ∙

research

∙ 08/29/2018

Searching Toward Pareto-Optimal Device-Aware Neural Architectures

Recent breakthroughs in Neural Architectural Search (NAS) have achieved ...

An-Chieh Cheng, et al. ∙

research

∙ 08/06/2018

Liquid Pouring Monitoring via Rich Sensory Inputs

Humans have the amazing ability to perform very subtle manipulation task...

Tz-Ying Wu, et al. ∙

research

∙ 07/30/2018

Leveraging Motion Priors in Videos for Improving Human Segmentation

Despite many advances in deep-learning based semantic segmentation, perf...

Yu-Ting Chen, et al. ∙

research

∙ 07/29/2018

Efficient Uncertainty Estimation for Semantic Segmentation in Videos

Uncertainty estimation in deep learning becomes more important recently....

Po-Yu Huang, et al. ∙

research

∙ 06/21/2018

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

Recent breakthroughs in Neural Architectural Search (NAS) have achieved ...

Jin-Dong Dong, et al. ∙

research

∙ 06/04/2018

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

Automatic saliency prediction in 360 videos is critical for viewpoint gu...

Hsien-Tzu Cheng, et al. ∙

research

∙ 05/16/2018

A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss

We propose a unified model combining the strength of extractive and abst...

Wan-Ting Hsu, et al. ∙

research

∙ 03/12/2018

Omnidirectional CNN for Visual Place Recognition and Navigation

Visual place recognition is challenging, especially when only a few pla...

Tsun-Hsuan Wang, et al. ∙

research

∙ 12/02/2017

Compatibility Family Learning for Item Recommendation and Generation

Compatibility between items, such as clothes and shoes, is a major facto...

Yong-Siang Shih, et al. ∙

research

∙ 11/23/2017

Self-view Grounding Given a Narrated 360° Video

Narrated 360 videos are typically provided in many touring scenarios to ...

Shih-Han Chou, et al. ∙

research

∙ 10/20/2017

Anticipating Daily Intention using On-Wrist Motion Triggered Sensing

Anticipating human intention by observing one's actions has many applica...

Tz-Ying Wu, et al. ∙

research

∙ 10/02/2017

Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight

Deep reinforcement learning has shown promising results in learning cont...

Yen-Chen Lin, et al. ∙

research

∙ 05/18/2017

Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization

For survival, a living agent must have the ability to assess risk (1) by...

Kuo-Hao Zeng, et al. ∙

research

∙ 05/04/2017

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

Watching a 360 sports video requires a viewer to continuously select a v...

Hou-Ning Hu, et al. ∙

research

∙ 05/02/2017

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

Impressive image captioning results are achieved in domains with plenty ...

Tseng-Hung Chen, et al. ∙

research

∙ 04/27/2017

No More Discrimination: Cross City Adaptation of Road Scene Segmenters

Despite the recent success of deep-learning based semantic segmentation,...

Yi-Hsin Chen, et al. ∙

research

∙ 03/08/2017

Tactics of Adversarial Attack on Deep Reinforcement Learning Agents

We introduce two tactics to attack agents trained by deep reinforcement ...

Yen-Chen Lin, et al. ∙

research

∙ 02/01/2017

Learning to Compose with Professional Photographs on the Web

Photo composition is an important factor affecting the aesthetics in pho...

Yi-Ling Chen, et al. ∙

research

∙ 11/12/2016

Leveraging Video Descriptions to Learn Video Question Answering

We propose a scalable approach to learn video-based question answering (...

Kuo-Hao Zeng, et al. ∙

Min Sun

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