Search Results for author: Zhichao Lu

Found 18 papers, 9 papers with code

Multiview Transformers for Video Recognition

no code implementations12 Jan 2022 Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid

Video understanding requires reasoning at multiple spatiotemporal resolutions -- from short fine-grained motions to events taking place over longer durations.

 Ranked #1 on Action Classification on Kinetics-400 (using extra training data)

Action Classification Action Recognition +1

Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation

no code implementations8 Oct 2021 Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu, Jing Wang, Miao Zhang

For the goal of automated design of high-performance deep convolutional neural networks (CNNs), Neural Architecture Search (NAS) methodology is becoming increasingly important for both academia and industries. Due to the costly stochastic gradient descent (SGD) training of CNNs for performance evaluation, most existing NAS methods are computationally expensive for real-world deployments.

Neural Architecture Search

End-to-End Dense Video Captioning with Parallel Decoding

1 code implementation ICCV 2021 Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo

Dense video captioning aims to generate multiple associated captions with their temporal locations from the video.

Dense Video Captioning

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

4 code implementations ICCV 2021 Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He

Recent advancements in deep neural networks have made remarkable leap-forwards in dense image prediction.

Ranked #6 on Semantic Segmentation on ADE20K (using extra training data)

Semantic Segmentation

The surprising impact of mask-head architecture on novel class segmentation

3 code implementations ICCV 2021 Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang

Under this family, we study Mask R-CNN and discover that instead of its default strategy of training the mask-head with a combination of proposals and groundtruth boxes, training the mask-head with only groundtruth boxes dramatically improves its performance on novel classes.

Instance Segmentation Semantic Segmentation

Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts

no code implementations11 Jan 2021 Kunpeng Li, Zizhao Zhang, Guanhang Wu, Xuehan Xiong, Chen-Yu Lee, Zhichao Lu, Yun Fu, Tomas Pfister

To address this issue, we introduce a new method for pre-training video action recognition models using queried web videos.

Action Recognition

Multi-objective Neural Architecture Search with Almost No Training

no code implementations27 Nov 2020 Shengran Hu, Ran Cheng, Cheng He, Zhichao Lu

In the recent past, neural architecture search (NAS) has attracted increasing attention from both academia and industries.

Neural Architecture Search Transfer Learning

PERF-Net: Pose Empowered RGB-Flow Net

no code implementations28 Sep 2020 Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang

In recent years, many works in the video action recognition literature have shown that two stream models (combining spatial and temporal input streams) are necessary for achieving state of the art performance.

Action Classification Action Recognition

MUXConv: Information Multiplexing in Convolutional Neural Networks

1 code implementation CVPR 2020 Zhichao Lu, Kalyanmoy Deb, Vishnu Naresh Boddeti

To overcome this limitation, we present MUXConv, a layer that is designed to increase the flow of information by progressively multiplexing channel and spatial information in the network, while mitigating computational complexity.

Image Classification Neural Architecture Search +4

RetinaTrack: Online Single Stage Joint Detection and Tracking

1 code implementation CVPR 2020 Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang

Traditionally multi-object tracking and object detection are performed using separate systems with most prior works focusing exclusively on one of these aspects over the other.

Autonomous Driving Multi-Object Tracking +2

Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification

1 code implementation3 Dec 2019 Zhichao Lu, Ian Whalen, Yashesh Dhebar, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti

While existing approaches have achieved competitive performance in image classification, they are not well suited to problems where the computational budget is limited for two reasons: (1) the obtained architectures are either solely optimized for classification performance, or only for one deployment scenario; (2) the search process requires vast computational resources in most approaches.

General Classification Image Classification +2

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