Search Results for author: Humphrey Shi

Found 40 papers, 27 papers with code

Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN

1 code implementation27 Apr 2022 Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Gong Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang

To study the motion features in the latent space of StyleGAN, in this paper, we hypothesize and demonstrate that a series of meaningful, natural, and versatile small, local movements (referred to as "micromotion", such as expression, head movement, and aging effect) can be represented in low-rank spaces extracted from the latent space of a conventionally pre-trained StyleGAN-v2 model for face generation, with the guidance of proper "anchors" in the form of either short text or video clips.

Disentanglement Face Generation

Neighborhood Attention Transformer

3 code implementations14 Apr 2022 Ali Hassani, Steven Walton, Jiachen Li, Shen Li, Humphrey Shi

We present Neighborhood Attention Transformer (NAT), an efficient, accurate and scalable hierarchical transformer that works well on both image classification and downstream vision tasks.

Image Classification Object Detection +1

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image

no code implementations2 Apr 2022 Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

Despite the rapid development of Neural Radiance Field (NeRF), the necessity of dense covers largely prohibits its wider applications.

Novel View Synthesis

Object Localization under Single Coarse Point Supervision

1 code implementation17 Mar 2022 Xuehui Yu, Pengfei Chen, Di wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han

In this study, we propose a POL method using coarse point annotations, relaxing the supervision signals from accurate key points to freely spotted points.

Multiple Instance Learning Object Localization

AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition

1 code implementation28 Dec 2021 Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang

Recent works have shown that the computational efficiency of video recognition can be significantly improved by reducing the spatial redundancy.

Frame Video Recognition

SeMask: Semantically Masked Transformers for Semantic Segmentation

1 code implementation arXiv 2021 Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi

To achieve this, we propose SeMask, a simple and effective framework that incorporates semantic information into the encoder with the help of a semantic attention operation.

Semantic Segmentation

Feudal Reinforcement Learning by Reading Manuals

no code implementations13 Oct 2021 Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi

The manager agent is a multi-hop plan generator dealing with high-level abstract information and generating a series of sub-goals in a backward manner.


ConvMLP: Hierarchical Convolutional MLPs for Vision

3 code implementations9 Sep 2021 Jiachen Li, Ali Hassani, Steven Walton, Humphrey Shi

MLP-based architectures, which consist of a sequence of consecutive multi-layer perceptron blocks, have recently been found to reach comparable results to convolutional and transformer-based methods.

Ranked #5 on Image Classification on Flowers-102 (using extra training data)

Image Classification Instance Segmentation +2

Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics

1 code implementation26 Aug 2021 Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang

This work targets designing a principled and unified training-free framework for Neural Architecture Search (NAS), with high performance, low cost, and in-depth interpretation.

Neural Architecture Search

MSN: Efficient Online Mask Selection Network for Video Instance Segmentation

1 code implementation19 Jun 2021 Vidit Goel, Jiachen Li, Shubhika Garg, Harsh Maheshwari, Humphrey Shi

Our method improves the masks from segmentation and propagation branches in an online manner using the Mask Selection Network (MSN) hence limiting the noise accumulation during mask tracking.

Instance Segmentation Semantic Segmentation +3

RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection

no code implementations26 May 2021 Jiachen Li, Yuan Lin, Rongrong Liu, Chiu Man Ho, Humphrey Shi

Segmentation-based scene text detection methods have been widely adopted for arbitrary-shaped text detection recently, since they make accurate pixel-level predictions on curved text instances and can facilitate real-time inference without time-consuming processing on anchors.

Scene Text Detection

Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization

no code implementations16 May 2021 Haichao Yu, Linjie Yang, Humphrey Shi

Post-training quantization methods use a set of calibration data to compute quantization ranges for network parameters and activations.


Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection

1 code implementation29 Apr 2021 Jiachen Li, Bowen Cheng, Rogerio Feris, JinJun Xiong, Thomas S. Huang, Wen-mei Hwu, Humphrey Shi

Current anchor-free object detectors are quite simple and effective yet lack accurate label assignment methods, which limits their potential in competing with classic anchor-based models that are supported by well-designed assignment methods based on the Intersection-over-Union~(IoU) metric.

Object Detection

Escaping the Big Data Paradigm with Compact Transformers

6 code implementations12 Apr 2021 Ali Hassani, Steven Walton, Nikhil Shah, Abulikemu Abuduweili, Jiachen Li, Humphrey Shi

We show for the first time that with the right size and tokenization, transformers can perform head-to-head with state-of-the-art CNNs on small datasets, often with better accuracy and fewer parameters.

Ranked #2 on Fine-Grained Image Classification on Oxford 102 Flowers (FLOPS metric, using extra training data)

Fine-Grained Image Classification Superpixel Image Classification

Learning to Track Instances without Video Annotations

no code implementations CVPR 2021 Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz

Tracking segmentation masks of multiple instances has been intensively studied, but still faces two fundamental challenges: 1) the requirement of large-scale, frame-wise annotation, and 2) the complexity of two-stage approaches.

Frame Instance Segmentation +2

UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution

1 code implementation23 Mar 2021 Xingqian Xu, Zhangyang Wang, Humphrey Shi

In this work, we propose UltraSR, a simple yet effective new network design based on implicit image functions in which spatial coordinates and periodic encoding are deeply integrated with the implicit neural representation.


Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels

1 code implementation5 Mar 2021 Yuqian Zhou, Hanchao Yu, Humphrey Shi

Retinal vessel segmentation from retinal images is an essential task for developing the computer-aided diagnosis system for retinal diseases.

Retinal Vessel Segmentation

Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

1 code implementation CVPR 2021 Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou

To better exploit the value of both pre-trained weights and unlabeled target examples, we introduce adaptive consistency regularization that consists of two complementary components: Adaptive Knowledge Consistency (AKC) on the examples between the source and target model, and Adaptive Representation Consistency (ARC) on the target model between labeled and unlabeled examples.

Transfer Learning

A Multi-Mode Modulator for Multi-Domain Few-Shot Classification

1 code implementation ICCV 2021 Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang

Most existing few-shot classification methods only consider generalization on one dataset (i. e., single-domain), failing to transfer across various seen and unseen domains.

Classification Domain Generalization

Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach

1 code implementation CVPR 2021 Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian Price, Zhonghao Wang, Humphrey Shi

We also introduce Text Refinement Network (TexRNet), a novel text segmentation approach that adapts to the unique properties of text, e. g. non-convex boundary, diverse texture, etc., which often impose burdens on traditional segmentation models.

Style Transfer Text Segmentation +1

Human-Object Interaction Detection:A Quick Survey and Examination of Methods

1 code implementation27 Sep 2020 Trevor Bergstrom, Humphrey Shi

In order to provide insight to future researchers, we perform an individualized study that examines the performance of each component of a multi-stream convolutional neural network architecture for human-object interaction detection.

Human-Object Interaction Detection

Deep Learning for 3D Point Cloud Understanding: A Survey

1 code implementation18 Sep 2020 Haoming Lu, Humphrey Shi

The development of practical applications, such as autonomous driving and robotics, has brought increasing attention to 3D point cloud understanding.

Autonomous Driving

The 1st Tiny Object Detection Challenge:Methods and Results

1 code implementation16 Sep 2020 Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jiang, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing novel and accurate methods for tiny object detection in images which have wide views, with a current focus on tiny person detection.

Human Detection Object Detection

High-Resolution Deep Image Matting

no code implementations14 Sep 2020 Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi

Image matting is a key technique for image and video editing and composition.

Image Matting

Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation

no code implementations28 Jun 2020 Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun

In this paper, we propose Motion Pyramid Networks, a novel deep learning-based approach for accurate and efficient cardiac motion estimation.

Knowledge Distillation Motion Estimation

Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining

3 code implementations CVPR 2020 Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Humphrey Shi

By combining the new CS-NL prior with local and in-scale non-local priors in a powerful recurrent fusion cell, we can find more cross-scale feature correlations within a single low-resolution (LR) image.

Image Super-Resolution

Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis

no code implementations21 May 2020 Yu Song, Zilong Huang, Chuanyue Shen, Humphrey Shi, David A Lange

The standard petrography test method for measuring air voids in concrete (ASTM C457) requires a meticulous and long examination of sample phase composition under a stereomicroscope.

Semantic Segmentation

Pyramid Attention Networks for Image Restoration

2 code implementations28 Apr 2020 Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi

Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locations and scales.

Demosaicking Image Denoising +1

Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation

no code implementations2 Apr 2020 Zhonghao Wang, Yunchao Wei, Rogerior Feris, JinJun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi

A key challenge of this task is how to alleviate the data distribution discrepancy between the source and target domains, i. e. reducing domain shift.

Domain Adaptation Semantic Segmentation

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation

1 code implementation CVPR 2020 Zhonghao Wang, Mo Yu, Yunchao Wei, Rogerio Feris, JinJun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi

We consider the problem of unsupervised domain adaptation for semantic segmentation by easing the domain shift between the source domain (synthetic data) and the target domain (real data) in this work.

Semantic Segmentation Unsupervised Domain Adaptation

AlignSeg: Feature-Aligned Segmentation Networks

1 code implementation24 Feb 2020 Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi

Aggregating features in terms of different convolutional blocks or contextual embeddings has been proven to be an effective way to strengthen feature representations for semantic segmentation.

Semantic Segmentation

CCNet: Criss-Cross Attention for Semantic Segmentation

2 code implementations ICCV 2019 Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang

Compared with the non-local block, the proposed recurrent criss-cross attention module requires 11x less GPU memory usage.

Ranked #6 on Semantic Segmentation on FoodSeg103 (using extra training data)

Human Parsing Instance Segmentation +5

A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization

no code implementations23 Nov 2018 Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, JinJun Xiong, Wen-mei Hwu, Thomas S. Huang, Humphrey Shi

While training on samples drawn from independent and identical distribution has been a de facto paradigm for optimizing image classification networks, humans learn new concepts in an easy-to-hard manner and on the selected examples progressively.

General Classification Image Classification +5

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