Search Results for author: Mei Chen

Found 16 papers, 7 papers with code

BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation

2 code implementations1 Aug 2022 Ye Yu, Jialin Yuan, Gaurav Mittal, Li Fuxin, Mei Chen

It captures object motion in the video via a novel optical flow calibration module that fuses the segmentation mask with optical flow estimation to improve within-object optical flow smoothness and reduce noise at object boundaries.

Optical Flow Estimation Semantic Segmentation +4

GateHUB: Gated History Unit with Background Suppression for Online Action Detection

no code implementations CVPR 2022 Junwen Chen, Gaurav Mittal, Ye Yu, Yu Kong, Mei Chen

We present GateHUB, Gated History Unit with Background Suppression, that comprises a novel position-guided gated cross-attention mechanism to enhance or suppress parts of the history as per how informative they are for current frame prediction.

Online Action Detection Optical Flow Estimation

MUSE: Feature Self-Distillation with Mutual Information and Self-Information

no code implementations25 Oct 2021 Yu Gong, Ye Yu, Gaurav Mittal, Greg Mori, Mei Chen

Importantly, we argue and empirically demonstrate that MUSE, compared to other feature discrepancy functions, is a more functional proxy to introduce dependency and effectively improve the expressivity of all features in the knowledge distillation framework.

Knowledge Distillation object-detection +1

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis

no code implementations13 Sep 2021 Tiange Xiang, Yang song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai

With image-level labels only, patch-wise classification would be sub-optimal due to inconsistency between the patch appearance and image-level label.

Classification whole slide images

Seismic Inverse Modeling Method based on Generative Adversarial Network

no code implementations8 Jun 2021 Pengfei Xie, YanShu Yin, JiaGen Hou, Mei Chen, LiXin Wang

Seismic inverse modeling is a common method in reservoir prediction and it plays a vital role in the exploration and development of oil and gas.

Seismic Inversion

Revisiting Dynamic Convolution via Matrix Decomposition

1 code implementation ICLR 2021 Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos

It has two limitations: (a) it increases the number of convolutional weights by K-times, and (b) the joint optimization of dynamic attention and static convolution kernels is challenging.

Dimensionality Reduction

Stronger NAS with Weaker Predictors

1 code implementation NeurIPS 2021 Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan

We propose a paradigm shift from fitting the whole architecture space using one strong predictor, to progressively fitting a search path towards the high-performance sub-space through a set of weaker predictors.

Neural Architecture Search

Weak NAS Predictor Is All You Need

no code implementations1 Jan 2021 Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan

Rather than expecting a single strong predictor to model the whole space, we seek a progressive line of weak predictors that can connect a path to the best architecture, thus greatly simplifying the learning task of each predictor.

Neural Architecture Search

PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images

1 code implementation11 Sep 2020 Dongnan Liu, Donghao Zhang, Yang song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai

In this work, we present an unsupervised domain adaptation (UDA) method, named Panoptic Domain Adaptive Mask R-CNN (PDAM), for unsupervised instance segmentation in microscopy images.

Instance Segmentation Semantic Segmentation +1

HyperSTAR: Task-Aware Hyperparameters for Deep Networks

no code implementations CVPR 2020 Gaurav Mittal, Chang Liu, Nikolaos Karianakis, Victor Fragoso, Mei Chen, Yun Fu

To reduce HPO time, we present HyperSTAR (System for Task Aware Hyperparameter Recommendation), a task-aware method to warm-start HPO for deep neural networks.

Hyperparameter Optimization Image Classification

Region and Object based Panoptic Image Synthesis through Conditional GANs

no code implementations14 Dec 2019 Heng Wang, Donghao Zhang, Yang song, Heng Huang, Mei Chen, Weidong Cai

Our contribution consists of the proposal of a significant task worth investigating and a naive baseline of solving it.

Image-to-Image Translation Translation

FARSA: Fully Automated Roadway Safety Assessment

1 code implementation17 Jan 2019 Weilian Song, Scott Workman, Armin Hadzic, Xu Zhang, Eric Green, Mei Chen, Reginald Souleyrette, Nathan Jacobs

An emerging approach for conducting such assessments in the United States is through the US Road Assessment Program (usRAP), which rates roads from highest risk (1 star) to lowest (5 stars).

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