Po-Yao Huang | DeepAI

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∙ 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. ∙

∙ 06/01/2023

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles

Modern hierarchical vision transformers have added several vision-specif...

0 Chaitanya Ryali, et al. ∙

∙ 04/14/2023

DINOv2: Learning Robust Visual Features without Supervision

The recent breakthroughs in natural language processing for model pretra...

1 Maxime Oquab, et al. ∙

∙ 04/06/2023

Diffusion Models as Masked Autoencoders

There has been a longstanding belief that generation can facilitate a tr...

0 Chen Wei, et al. ∙

∙ 01/05/2023

CiT: Curation in Training for Effective Vision-Language Data

Large vision-language models are generally applicable to many downstream...

0 Hu Xu, et al. ∙

∙ 12/15/2022

MAViL: Masked Audio-Video Learners

We present Masked Audio-Video Learners (MAViL) to train audio-visual rep...

0 Po-Yao Huang, et al. ∙

∙ 07/13/2022

Masked Autoencoders that Listen

This paper studies a simple extension of image-based Masked Autoencoders...

3 Po-Yao Huang, et al. ∙

∙ 03/25/2022

AudioTagging Done Right: 2nd comparison of deep learning methods for environmental sound classification

After its sweeping success in vision and language tasks, pure attention-...

0 Juncheng B. Li, et al. ∙

∙ 03/23/2022

On Adversarial Robustness of Large-scale Audio Visual Learning

As audio-visual systems are being deployed for safety-critical tasks suc...

0 Juncheng B. Li, et al. ∙

∙ 09/28/2021

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

We present VideoCLIP, a contrastive approach to pre-train a unified mode...

0 Hu Xu, et al. ∙

∙ 05/20/2021

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding

We present a simplified, task-agnostic multi-modal pre-training approach...

0 Hu Xu, et al. ∙

∙ 03/16/2021

Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models

This paper studies zero-shot cross-lingual transfer of vision-language m...

7 Po-Yao Huang, et al. ∙

∙ 11/15/2020

Audio-Visual Event Recognition through the lens of Adversary

As audio/visual classification models are widely deployed for sensitive ...

0 Juncheng B. Li, et al. ∙

∙ 10/06/2020

Support-set bottlenecks for video-text representation learning

The dominant paradigm for learning video-text representations – noise co...

1 Mandela Patrick, et al. ∙

∙ 08/30/2020

A Survey of Deep Active Learning

Active learning (AL) attempts to maximize the performance gain of the mo...

148 Pengzhen Ren, et al. ∙

∙ 06/01/2020

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

Deep learning has made major breakthroughs and progress in many fields. ...

75 Pengzhen Ren, et al. ∙

∙ 05/06/2020

Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting

Unsupervised machine translation (MT) has recently achieved impressive r...

1 Po-Yao Huang, et al. ∙

∙ 09/30/2019

Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations

With the aim of promoting and understanding the multilingual version of ...

0 Po-Yao Huang, et al. ∙

∙ 08/12/2019

RWR-GAE: Random Walk Regularization for Graph Auto Encoders

Node embeddings have become an ubiquitous technique for representing gra...

0 Vaibhav, et al. ∙

∙ 07/05/2017

Video Representation Learning and Latent Concept Mining for Large-scale Multi-label Video Classification

We report on CMU Informedia Lab's system used in Google's YouTube 8 Mill...

0 Po-Yao Huang, et al. ∙

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