Mingjie Sun | DeepAI

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∙ 08/23/2023

Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models

Recently, digital humans for interpersonal interaction in virtual enviro...

0 Siyue Yao, et al. ∙

∙ 06/20/2023

A Simple and Effective Pruning Approach for Large Language Models

As their size increases, Large Languages Models (LLMs) are natural candi...

0 Mingjie Sun, et al. ∙

∙ 03/01/2023

Single Image Backdoor Inversion via Robust Smoothed Classifiers

Backdoor inversion, the process of finding a backdoor trigger inserted i...

0 Mingjie Sun, et al. ∙

∙ 12/17/2022

Fully and Weakly Supervised Referring Expression Segmentation with End-to-End Learning

Referring Expression Segmentation (RES), which is aimed at localizing an...

0 Hui Li, et al. ∙

∙ 07/20/2022

Test-Time Adaptation via Conjugate Pseudo-labels

Test-time adaptation (TTA) refers to adapting neural networks to distrib...

4 Sachin Goyal, et al. ∙

∙ 06/08/2021

Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding

In this paper, we are tackling the weakly-supervised referring expressio...

5 Mingjie Sun, et al. ∙

∙ 03/09/2021

Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning

In this paper, we are tackling the proposal-free referring expression gr...

4 Mingjie Sun, et al. ∙

∙ 11/17/2020

Extreme Value Preserving Networks

Recent evidence shows that convolutional neural networks (CNNs) are bias...

4 Mingjie Sun, et al. ∙

∙ 10/18/2020

Poisoned classifiers are not only backdoored, they are fundamentally broken

Under a commonly-studied "backdoor" poisoning attack against classificat...

8 Mingjie Sun, et al. ∙

∙ 04/16/2020

Fast Template Matching and Update for Video Object Tracking and Segmentation

In this paper, the main task we aim to tackle is the multi-instance semi...

11 Mingjie Sun, et al. ∙

∙ 03/04/2020

Black-box Smoothing: A Provable Defense for Pretrained Classifiers

We present a method for provably defending any pretrained image classifi...

7 Hadi Salman, et al. ∙

∙ 11/19/2019

Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

Weakly supervised semantic segmentation is a challenging task as it only...

27 Bingfeng Zhang, et al. ∙

∙ 11/02/2019

Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples

In this paper, we aim to tackle the one-shot person re-identification pr...

0 Hui Li, et al. ∙

∙ 09/27/2019

Adaptive ROI Generation for Video Object Segmentation Using Reinforcement Learning

In this paper, we aim to tackle the task of semi-supervised video object...

0 Mingjie Sun, et al. ∙

∙ 07/21/2019

Characterizing Attacks on Deep Reinforcement Learning

Deep reinforcement learning (DRL) has achieved great success in various ...

4 Chaowei Xiao, et al. ∙

∙ 10/30/2018

Data Poisoning Attack against Unsupervised Node Embedding Methods

Unsupervised node embedding methods (e.g., DeepWalk, LINE, and node2vec)...

4 Mingjie Sun, et al. ∙

∙ 10/11/2018

Rethinking the Value of Network Pruning

Network pruning is widely used for reducing the heavy computational cost...

0 Zhuang Liu, et al. ∙

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