Dina Katabi | DeepAI

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Hao Wang
366 publications
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79 publications
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∙ 09/08/2023

Unsupervised Object Localization with Representer Point Selection

We propose a novel unsupervised object localization method that allows u...

0 Yeonghwan Song, et al. ∙

∙ 05/31/2023

Improving CLIP Training with Language Rewrites

Contrastive Language-Image Pre-training (CLIP) stands as one of the most...

0 Lijie Fan, et al. ∙

∙ 05/23/2023

Reparo: Loss-Resilient Generative Codec for Video Conferencing

Loss of packets in video conferencing often results in poor quality and ...

0 Tianhong Li, et al. ∙

∙ 02/23/2023

Change is Hard: A Closer Look at Subpopulation Shift

Machine learning models often perform poorly on subgroups that are under...

0 Yuzhe Yang, et al. ∙

∙ 11/16/2022

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

Generative modeling and representation learning are two key tasks in com...

0 Tianhong Li, et al. ∙

∙ 03/17/2022

On Multi-Domain Long-Tailed Recognition, Generalization and Beyond

Real-world data often exhibit imbalanced label distributions. Existing s...

22 Yuzhe Yang, et al. ∙

∙ 02/22/2022

Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning

Indiscriminate data poisoning attacks are quite effective against superv...

12 Hao He, et al. ∙

∙ 12/04/2021

Unsupervised Domain Generalization by Learning a Bridge Across Domains

The ability to generalize learned representations across significantly d...

6 Sivan Harary, et al. ∙

∙ 02/18/2021

Delving into Deep Imbalanced Regression

Real-world data often exhibit imbalanced distributions, where certain ta...

17 Yuzhe Yang, et al. ∙

∙ 08/25/2020

In-Home Daily-Life Captioning Using Radio Signals

This paper aims to caption daily life –i.e., to create a textual descrip...

3 Lijie Fan, et al. ∙

∙ 07/03/2020

Continuously Indexed Domain Adaptation

Existing domain adaptation focuses on transferring knowledge between dom...

17 Hao Wang, et al. ∙

∙ 04/02/2020

Learning Longterm Representations for Person Re-Identification Using Radio Signals

Person Re-Identification (ReID) aims to recognize a person-of-interest a...

2 Lijie Fan, et al. ∙

∙ 10/18/2019

Learning Compositional Koopman Operators for Model-Based Control

Finding an embedding space for a linear approximation of a nonlinear dyn...

0 Yunzhu Li, et al. ∙

∙ 09/26/2019

Harnessing Structures for Value-Based Planning and Reinforcement Learning

Value-based methods constitute a fundamental methodology in planning and...

0 Yuzhe Yang, et al. ∙

∙ 09/20/2019

Making the Invisible Visible: Action Recognition Through Walls and Occlusions

Understanding people's actions and interactions typically depends on see...

20 Tianhong Li, et al. ∙

∙ 05/28/2019

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Deep neural networks are vulnerable to adversarial attacks. The literatu...

0 Yuzhe Yang, et al. ∙

∙ 02/06/2019

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling

We consider the problem of inferring the values of an arbitrary set of v...

24 Hao Wang, et al. ∙

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