Jiashi Feng

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National University of Singapore ∙ berkeley college

Assistant Professor at National University of Singapore

ORDNet: Capturing Omni-Range Dependencies for Scene Parsing

Learning to capture dependencies between spatial positions is essential ...
01/11/2021 ∙ by Shaofei Huang, et al. ∙ 8 ∙ share

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Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

Unsupervised domain adaptation (UDA) aims to transfer knowledge from a r...
12/14/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Adversarial images for the primate brain

Deep artificial neural networks have been proposed as a model of primate...
11/11/2020 ∙ by Li Yuan, et al. ∙ 1 ∙ share

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Improving Generalization in Reinforcement Learning with Mixture Regularization

Deep reinforcement learning (RL) agents trained in a limited set of envi...
10/21/2020 ∙ by Kaixin Wang, et al. ∙ 0 ∙ share

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Towards Accurate Human Pose Estimation in Videos of Crowded Scenes

Video-based human pose estimation in crowded scenes is a challenging pro...
10/16/2020 ∙ by Li Yuan, et al. ∙ 1 ∙ share

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Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes

Detecting and recognizing human action in videos with crowded scenes is ...
10/16/2020 ∙ by Li Yuan, et al. ∙ 1 ∙ share

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A Simple Baseline for Pose Tracking in Videos of Crowded Scenes

This paper presents our solution to ACM MM challenge: Large-scale Human-...
10/16/2020 ∙ by Li Yuan, et al. ∙ 1 ∙ share

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Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning

It is not clear yet why ADAM-alike adaptive gradient algorithms suffer f...
10/12/2020 ∙ by Pan Zhou, et al. ∙ 46 ∙ share

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RVL-BERT: Visual Relationship Detection with Visual-Linguistic Knowledge from Pre-trained Representations

Visual relationship detection aims to reason over relationships among sa...
09/10/2020 ∙ by Meng-Jiun Chiou, et al. ∙ 15 ∙ share

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Dual Adversarial Auto-Encoders for Clustering

As a powerful approach for exploratory data analysis, unsupervised clust...
08/23/2020 ∙ by Pengfei Ge, et al. ∙ 0 ∙ share

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ConvBERT: Improving BERT with Span-based Dynamic Convolution

Pre-trained language models like BERT and its variants have recently ach...
08/06/2020 ∙ by Zihang Jiang, et al. ∙ 0 ∙ share

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Few-shot Classification via Adaptive Attention

Training a neural network model that can quickly adapt to a new task is ...
08/06/2020 ∙ by Zihang Jiang, et al. ∙ 0 ∙ share

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The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation

Most existing object instance detection and segmentation models only wor...
07/23/2020 ∙ by Tao Wang, et al. ∙ 0 ∙ share

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Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition

We consider the problem of semi-supervised 3D action recognition which h...
07/12/2020 ∙ by Chenyang Si, et al. ∙ 12 ∙ share

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Combating Domain Shift with Self-Taught Labeling

We present a novel method to combat domain shift when adapting classific...
07/08/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Rethinking Bottleneck Structure for Efficient Mobile Network Design

The inverted residual block is dominating architecture design for mobile...
07/05/2020 ∙ by Zhou Daquan, et al. ∙ 0 ∙ share

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Local Grid Rendering Networks for 3D Object Detection in Point Clouds

The performance of 3D object detection models over point clouds highly d...
07/04/2020 ∙ by Jianan Li, et al. ∙ 0 ∙ share

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Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation

Existing 3D human pose estimation models suffer performance drop when ap...
07/04/2020 ∙ by Jianfeng Zhang, et al. ∙ 0 ∙ share

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Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Solving long-tail large vocabulary object detection with deep learning b...
06/18/2020 ∙ by Yu Li, et al. ∙ 12 ∙ share

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Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation

Object region mining is a critical step for weakly-supervised semantic s...
06/14/2020 ∙ by Kuangqi Zhou, et al. ∙ 0 ∙ share

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Effective Training Strategies for Deep Graph Neural Networks

Graph Neural Networks (GNNs) tend to suffer performance degradation as m...
06/12/2020 ∙ by Kuangqi Zhou, et al. ∙ 0 ∙ share

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Boosting Few-Shot Learning With Adaptive Margin Loss

Few-shot learning (FSL) has attracted increasing attention in recent yea...
05/28/2020 ∙ by Aoxue Li, et al. ∙ 5 ∙ share

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RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement

Along with the extensive applications of CNN models for classification, ...
04/24/2020 ∙ by Jiawei Du, et al. ∙ 0 ∙ share

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Strip Pooling: Rethinking Spatial Pooling for Scene Parsing

Spatial pooling has been proven highly effective in capturing long-range...
03/30/2020 ∙ by Qibin Hou, et al. ∙ 7 ∙ share

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PANDA: Prototypical Unsupervised Domain Adaptation

Previous adversarial domain alignment methods for unsupervised domain ad...
03/30/2020 ∙ by Dapeng Hu, et al. ∙ 0 ∙ share

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A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation

This work addresses the unsupervised domain adaptation problem, especial...
03/05/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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Cross-layer Feature Pyramid Network for Salient Object Detection

Feature pyramid network (FPN) based models, which fuse the semantics and...
02/25/2020 ∙ by Zun Li, et al. ∙ 0 ∙ share

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Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

Unsupervised domain adaptation (UDA) aims to leverage the knowledge lear...
02/20/2020 ∙ by Jian Liang, et al. ∙ 0 ∙ share

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ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

Recent powerful pre-trained language models have achieved remarkable per...
02/11/2020 ∙ by Weihao Yu, et al. ∙ 23 ∙ share

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The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

We present the findings of "The Alzheimer's Disease Prediction Of Longit...
02/09/2020 ∙ by Razvan V. Marinescu, et al. ∙ 0 ∙ share

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MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection

Recommender systems often face heterogeneous datasets containing highly ...
01/22/2020 ∙ by Mi Luo, et al. ∙ 0 ∙ share

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PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

We propose a single-stage Human-Object Interaction (HOI) detection metho...
12/30/2019 ∙ by Yue Liao, et al. ∙ 4 ∙ share

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RC-DARTS: Resource Constrained Differentiable Architecture Search

Recent advances show that Neural Architectural Search (NAS) method is ab...
12/30/2019 ∙ by Xiaojie Jin, et al. ∙ 0 ∙ share

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Zoom in to where it matters: a hierarchical graph based model for mammogram analysis

In clinical practice, human radiologists actually review medical images ...
12/16/2019 ∙ by Hao Du, et al. ∙ 0 ∙ share

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Efficient Differentiable Neural Architecture Search with Meta Kernels

The searching procedure of neural architecture search (NAS) is notorious...
12/10/2019 ∙ by Shoufa Chen, et al. ∙ 0 ∙ share

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Classification Calibration for Long-tail Instance Segmentation

Remarkable progress has been made in object instance detection and segme...
10/29/2019 ∙ by Tao Wang, et al. ∙ 23 ∙ share

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Decoupling Representation and Classifier for Long-Tailed Recognition

The long-tail distribution of the visual world poses great challenges fo...
10/21/2019 ∙ by Bingyi Kang, et al. ∙ 0 ∙ share

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On Robustness of Neural Ordinary Differential Equations

Neural ordinary differential equations (ODEs) have been attracting incre...
10/12/2019 ∙ by Hanshu Yan, et al. ∙ 0 ∙ share

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Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning

In this paper, we aim to tackle the task of semi-supervised video object...
09/27/2019 ∙ by Mingjie Sun, et al. ∙ 0 ∙ share

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Revisit Knowledge Distillation: a Teacher-free Framework

Knowledge Distillation (KD) aims to distill the knowledge of a cumbersom...
09/25/2019 ∙ by Li Yuan, et al. ∙ 29 ∙ share

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Hierarchic Neighbors Embedding

Manifold learning now plays a very important role in machine learning an...
09/16/2019 ∙ by Shenglan Liu, et al. ∙ 14 ∙ share

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PSGAN: Pose-Robust Spatial-Aware GAN for Customizable Makeup Transfer

We propose a novel Pose-robust Spatial-aware GAN (PSGAN) for transferrin...
09/16/2019 ∙ by Wentao Jiang, et al. ∙ 23 ∙ share

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Single-Stage Multi-Person Pose Machines

Multi-person pose estimation is a challenging problem. Existing methods ...
08/24/2019 ∙ by Xuecheng Nie, et al. ∙ 23 ∙ share

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Dynamic Kernel Distillation for Efficient Pose Estimation in Videos

Existing video-based human pose estimation methods extensively apply lar...
08/24/2019 ∙ by Xuecheng Nie, et al. ∙ 9 ∙ share

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PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

Despite the great progress made by deep CNNs in image semantic segmentat...
08/18/2019 ∙ by Kaixin Wang, et al. ∙ 13 ∙ share

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Central Similarity Hashing via Hadamard matrix

Hashing has been widely used for efficient large-scale multimedia data r...
08/01/2019 ∙ by Li Yuan, et al. ∙ 2 ∙ share

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Deep Model Compression via Filter Auto-sampling

The recent WSNet [1] is a new model compression method through sampling ...
07/12/2019 ∙ by Daquan Zhou, et al. ∙ 1 ∙ share

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Delving into 3D Action Anticipation from Streaming Videos

Action anticipation, which aims to recognize the action with a partial o...
06/15/2019 ∙ by Hongsong Wang, et al. ∙ 0 ∙ share

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VRED: A Position-Velocity Recurrent Encoder-Decoder for Human Motion Prediction

Human motion prediction, which aims to predict future human poses given ...
06/15/2019 ∙ by Hongsong Wang, et al. ∙ 0 ∙ share

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Unsupervised Image Noise Modeling with Self-Consistent GAN

Noise modeling lies in the heart of many image processing tasks. However...
06/13/2019 ∙ by Hanshu Yan, et al. ∙ 11 ∙ share

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Jiashi Feng

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