Kan Chen | DeepAI

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∙ 09/11/2023

Task-Oriented Cross-System Design for Timely and Accurate Modeling in the Metaverse

In this paper, we establish a task-oriented cross-system design framewor...

0 Zhen Meng, et al. ∙

∙ 03/11/2023

A Differential Effect Approach to Partial Identification of Treatment Effects

We consider identification and inference for the average treatment effec...

0 Kan Chen, et al. ∙

∙ 09/02/2022

Using Case Description Information to Reduce Sensitivity to Bias for the Attributable Fraction Among the Exposed

The attributable fraction among the exposed (AF_e), also known as the at...

0 Kan Chen, et al. ∙

∙ 11/29/2021

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

Predicting the future behavior of road users is one of the most challeng...

0 Balakrishnan Varadarajan, et al. ∙

∙ 11/25/2021

Cross-Domain Object Detection via Adaptive Self-Training

We tackle the problem of domain adaptation in object detection, where th...

4 Yu-Jhe Li, et al. ∙

∙ 07/20/2021

Edge of chaos as a guiding principle for modern neural network training

The success of deep neural networks in real-world problems has prompted ...

0 Lin Zhang, et al. ∙

∙ 07/02/2021

Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm

Sparse Group LASSO (SGL) is a regularized model for high-dimensional lin...

0 Kan Chen, et al. ∙

∙ 04/08/2021

Video Question Answering with Phrases via Semantic Roles

Video Question Answering (VidQA) evaluation metrics have been limited to...

14 Arka Sadhu, et al. ∙

∙ 02/18/2021

Unbiased Teacher for Semi-Supervised Object Detection

Semi-supervised learning, i.e., training networks with both labeled and ...

15 Yen-Cheng Liu, et al. ∙

∙ 10/25/2020

A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks

When equipped with efficient optimization algorithms, the over-parameter...

0 Zhiqi Bu, et al. ∙

∙ 06/03/2020

FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function

Neural Architecture Search (NAS) yields state-of-the-art neural networks...

11 Xiaoliang Dai, et al. ∙

∙ 04/17/2020

CPARR: Category-based Proposal Analysis for Referring Relationships

The task of referring relationships is to localize subject and object en...

0 Chuanzi He, et al. ∙

∙ 04/12/2020

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Differentiable Neural Architecture Search (DNAS) has demonstrated great ...

17 Alvin Wan, et al. ∙

∙ 03/24/2020

Video Object Grounding using Semantic Roles in Language Description

We explore the task of Video Object Grounding (VOG), which grounds objec...

12 Arka Sadhu, et al. ∙

∙ 08/20/2019

Zero-Shot Grounding of Objects from Natural Language Queries

A phrase grounding system localizes a particular object in an image refe...

3 Arka Sadhu, et al. ∙

∙ 08/16/2019

Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization

Image-based localization (IBL) aims to estimate the 6DOF camera pose for...

0 Wentao Cheng, et al. ∙

∙ 05/02/2019

Billion-scale semi-supervised learning for image classification

This paper presents a study of semi-supervised learning with large convo...

0 I. Zeki Yalniz, et al. ∙

∙ 11/21/2018

MAC: Mining Activity Concepts for Language-based Temporal Localization

We address the problem of language-based temporal localization in untrim...

0 Runzhou Ge, et al. ∙

∙ 07/12/2018

CTAP: Complementary Temporal Action Proposal Generation

Temporal action proposal generation is an important task, akin to object...

0 Jiyang Gao, et al. ∙

∙ 03/29/2018

Motion-Appearance Co-Memory Networks for Video Question Answering

Video Question Answering (QA) is an important task in understanding vide...

0 Jiyang Gao, et al. ∙

∙ 03/11/2018

Knowledge Aided Consistency for Weakly Supervised Phrase Grounding

Given a natural language query, a phrase grounding system aims to locali...

0 Kan Chen, et al. ∙

∙ 08/04/2017

Query-guided Regression Network with Context Policy for Phrase Grounding

Given a textual description of an image, phrase grounding localizes obje...

0 Kan Chen, et al. ∙

∙ 04/03/2017

AMC: Attention guided Multi-modal Correlation Learning for Image Search

Given a user's query, traditional image search systems rank images accor...

0 Kan Chen, et al. ∙

∙ 03/17/2017

TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals

Temporal Action Proposal (TAP) generation is an important problem, as fa...

0 Jiyang Gao, et al. ∙

∙ 11/26/2016

Knowledge Graph Representation with Jointly Structural and Textual Encoding

The objective of knowledge graph embedding is to encode both entities an...

0 Jiacheng Xu, et al. ∙

∙ 08/20/2016

Learning Word Embeddings from Intrinsic and Extrinsic Views

While word embeddings are currently predominant for natural language pro...

0 Jifan Chen, et al. ∙

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