Yi-Ting Chen | DeepAI

AI Chat

Featured Co-authors

Shinji Watanabe
239 publications
Alan Yuille
192 publications
Hung-Yi Lee
187 publications
Kate Saenko
150 publications
Xu Sun
140 publications
Yu Tsao
127 publications
Zhen Li
122 publications
Quoc V. Le
113 publications
Huazhu Fu
108 publications
Deva Ramanan
104 publications
Larry S. Davis
92 publications

∙ 09/19/2023

AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models

Audio-visual representation learning aims to develop systems with human-...

0 Yuan Tseng, et al. ∙

∙ 06/15/2023

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video

We show how to build a model that allows realistic, free-viewpoint rende...

0 Zhi-Hao Lin, et al. ∙

∙ 02/28/2023

CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping

Point cloud data plays an essential role in robotics and self-driving ap...

0 Srikanth Malla, et al. ∙

∙ 01/30/2023

Shape-aware Text-driven Layered Video Editing

Temporal consistency is essential for video editing applications. Existi...

0 Yao-Chih Lee, et al. ∙

∙ 01/02/2023

Learning Road Scene-level Representations via Semantic Region Prediction

In this work, we tackle two vital tasks in automated driving systems, i....

0 Zihao Xiao, et al. ∙

∙ 09/27/2022

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

A spatial AI that can perform complex tasks through visual signals and c...

0 Chi-Ming Chung, et al. ∙

∙ 09/18/2022

MetaDIP: Accelerating Deep Image Prior with Meta Learning

Deep image prior (DIP) is a recently proposed technique for solving imag...

18 Kevin Zhang, et al. ∙

∙ 02/16/2022

ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images

Age-related macular degeneration (AMD) is the leading cause of visual im...

11 Huihui Fang, et al. ∙

∙ 02/01/2022

Semi-supervised 3D Object Detection via Temporal Graph Neural Networks

3D object detection plays an important role in autonomous driving and ot...

0 Jianren Wang, et al. ∙

∙ 12/04/2021

Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation

In few-shot imitation learning (FSIL), using behavioral cloning (BC) to ...

0 Jia-Fong Yeh, et al. ∙

∙ 06/24/2021

Driver-centric Risk Object Identification

A massive number of traffic fatalities are due to driver errors. To redu...

0 Chengxi Li, et al. ∙

∙ 04/07/2021

Multimodal Object Detection via Bayesian Fusion

Object detection with multimodal inputs can improve many safety-critical...

0 Yi-Ting Chen, et al. ∙

∙ 02/11/2021

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Pre-trained representations are becoming crucial for many NLP and percep...

0 Chao Jia, et al. ∙

∙ 08/18/2020

Uncertainty-aware Self-supervised 3D Data Association

3D object trackers usually require training on large amounts of annotate...

2 Jianren Wang, et al. ∙

∙ 03/05/2020

Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference

We propose a framework based on causal inference for risk object identif...

6 Chengxi Li, et al. ∙

∙ 11/16/2019

Grounding Human-to-Vehicle Advice for Self-driving Vehicles

Recent success suggests that deep neural control networks are likely to ...

21 Jinkyu Kim, et al. ∙

∙ 10/03/2019

iVRNote: Design, Creation and Evaluation of an Interactive Note-Taking Interface for Study and Reflection in VR Learning Environments

In this contribution, we design, implement and evaluate the pedagogical ...

0 Yi-Ting Chen, et al. ∙

∙ 09/20/2019

Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks

To enable intelligent automated driving systems, a promising strategy is...

0 Chengxi Li, et al. ∙

∙ 03/04/2019

The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes

3D multi-object detection and tracking are crucial for traffic scene und...

0 Abhishek Patil, et al. ∙

∙ 02/07/2019

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems

We introduce an unsupervised formulation to estimate heteroscedastic unc...

10 Ahmed Taha, et al. ∙

∙ 01/24/2019

In Defense of the Triplet Loss for Visual Recognition

We employ triplet loss as a space embedding regularizer to boost classif...

0 Ahmed Taha, et al. ∙

∙ 01/23/2019

Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems

We cast visual retrieval as a regression problem by posing triplet loss ...

0 Ahmed Taha, et al. ∙

∙ 11/18/2018

Temporal Recurrent Networks for Online Action Detection

Most work on temporal action detection is formulated in an offline manne...

0 Mingze Xu, et al. ∙

∙ 11/06/2018

Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning

Driving Scene understanding is a key ingredient for intelligent transpor...

4 Vasili Ramanishka, et al. ∙

∙ 07/02/2018

Semi-supervised Learning: Fusion of Self-supervised, Supervised Learning, and Multimodal Cues for Tactical Driver Behavior Detection

In this paper, we presented a preliminary study for tactical driver beha...

0 Athma Narayanan, et al. ∙

∙ 06/16/2018

Two Stream Self-Supervised Learning for Action Recognition

We present a self-supervised approach using spatio-temporal signals betw...

0 Ahmed Taha, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world