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Ang Li
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Larry S. Davis
92 publications
Venkatesh Saligrama
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Rogerio Feris
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Phillip Isola
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Nuno Vasconcelos
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Rameswar Panda
55 publications

∙ 11/29/2022

Procedural Image Programs for Representation Learning

Learning image representations using synthetic data allows training neur...

0 Manel Baradad, et al. ∙

∙ 10/18/2022

MaSS: Multi-attribute Selective Suppression

The recent rapid advances in machine learning technologies largely depen...

0 Chun-Fu Chen, et al. ∙

∙ 05/31/2022

VALHALLA: Visual Hallucination for Machine Translation

Designing better machine translation systems by considering auxiliary in...

0 Yi Li, et al. ∙

∙ 11/30/2021

Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data

Pre-training models on Imagenet or other massive datasets of real images...

2 Samarth Mishra, et al. ∙

∙ 08/23/2021

Dynamic Network Quantization for Efficient Video Inference

Deep convolutional networks have recently achieved great success in vide...

5 Ximeng Sun, et al. ∙

∙ 06/14/2021

Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data

Most existing works in few-shot learning rely on meta-learning the netwo...

0 Ashraful Islam, et al. ∙

∙ 06/04/2021

RegionViT: Regional-to-Local Attention for Vision Transformers

Vision transformer (ViT) has recently showed its strong capability in ac...

0 Chun-Fu Chen, et al. ∙

∙ 05/11/2021

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition

Multi-modal learning, which focuses on utilizing various modalities to i...

0 Rameswar Panda, et al. ∙

∙ 04/20/2021

Detector-Free Weakly Supervised Grounding by Separation

Nowadays, there is an abundance of data involving images and surrounding...

7 Assaf Arbelle, et al. ∙

∙ 03/27/2021

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

The recently developed vision transformer (ViT) has achieved promising r...

0 Chun-Fu Chen, et al. ∙

∙ 03/24/2021

A Broad Study on the Transferability of Visual Representations with Contrastive Learning

Tremendous progress has been made in visual representation learning, not...

0 Ashraful Islam, et al. ∙

∙ 03/02/2021

All at Once Network Quantization via Collaborative Knowledge Transfer

Network quantization has rapidly become one of the most widely used meth...

0 Ximeng Sun, et al. ∙

∙ 11/20/2020

Large Scale Neural Architecture Search with Polyharmonic Splines

Neural Architecture Search (NAS) is a powerful tool to automatically des...

0 Ulrich Finkler, et al. ∙

∙ 10/22/2020

Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition

In recent years, a number of approaches based on 2D CNNs and 3D CNNs hav...

0 Chun-Fu Chen, et al. ∙

∙ 06/23/2020

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search

Neural Architecture Search (NAS) is an open and challenging problem in m...

9 Rameswar Panda, et al. ∙

∙ 12/02/2019

More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation

Current state-of-the-art models for video action recognition are mostly ...

5 Quanfu Fan, et al. ∙

∙ 07/10/2018

Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition

In this paper, we propose a novel Convolutional Neural Network (CNN) arc...

0 Chun-Fu Chen, et al. ∙

∙ 02/08/2018

System G Distributed Graph Database

Motivated by the need to extract knowledge and value from interconnected...

0 Gabriel Tanase, et al. ∙

∙ 11/16/2017

NISP: Pruning Networks using Neuron Importance Score Propagation

To reduce the significant redundancy in deep Convolutional Neural Networ...

0 Ruichi Yu, et al. ∙

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