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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...
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03/11/2023
A Differential Effect Approach to Partial Identification of Treatment Effects
We consider identification and inference for the average treatment effec...
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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...
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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...
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11/25/2021
Cross-Domain Object Detection via Adaptive Self-Training
We tackle the problem of domain adaptation in object detection, where th...
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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 ...
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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...
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04/08/2021
Video Question Answering with Phrases via Semantic Roles
Video Question Answering (VidQA) evaluation metrics have been limited to...
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02/18/2021
Unbiased Teacher for Semi-Supervised Object Detection
Semi-supervised learning, i.e., training networks with both labeled and ...
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10/25/2020
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
When equipped with efficient optimization algorithms, the over-parameter...
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06/03/2020
FBNetV3: Joint Architecture-Recipe Search using Neural Acquisition Function
Neural Architecture Search (NAS) yields state-of-the-art neural networks...
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04/17/2020
CPARR: Category-based Proposal Analysis for Referring Relationships
The task of referring relationships is to localize subject and object en...
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04/12/2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions
Differentiable Neural Architecture Search (DNAS) has demonstrated great ...
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03/24/2020
Video Object Grounding using Semantic Roles in Language Description
We explore the task of Video Object Grounding (VOG), which grounds objec...
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08/20/2019
Zero-Shot Grounding of Objects from Natural Language Queries
A phrase grounding system localizes a particular object in an image refe...
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08/16/2019
Cascaded Parallel Filtering for Memory-Efficient Image-Based Localization
Image-based localization (IBL) aims to estimate the 6DOF camera pose for...
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05/02/2019
Billion-scale semi-supervised learning for image classification
This paper presents a study of semi-supervised learning with large convo...
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11/21/2018
MAC: Mining Activity Concepts for Language-based Temporal Localization
We address the problem of language-based temporal localization in untrim...
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07/12/2018
CTAP: Complementary Temporal Action Proposal Generation
Temporal action proposal generation is an important task, akin to object...
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03/29/2018
Motion-Appearance Co-Memory Networks for Video Question Answering
Video Question Answering (QA) is an important task in understanding vide...
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03/11/2018
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding
Given a natural language query, a phrase grounding system aims to locali...
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08/04/2017
Query-guided Regression Network with Context Policy for Phrase Grounding
Given a textual description of an image, phrase grounding localizes obje...
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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...
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03/17/2017
TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
Temporal Action Proposal (TAP) generation is an important problem, as fa...
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11/26/2016
Knowledge Graph Representation with Jointly Structural and Textual Encoding
The objective of knowledge graph embedding is to encode both entities an...
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08/20/2016
