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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...
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06/20/2023
A Simple and Effective Pruning Approach for Large Language Models
As their size increases, Large Languages Models (LLMs) are natural candi...
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03/01/2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers
Backdoor inversion, the process of finding a backdoor trigger inserted i...
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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...
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07/20/2022
Test-Time Adaptation via Conjugate Pseudo-labels
Test-time adaptation (TTA) refers to adapting neural networks to distrib...
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06/08/2021
Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding
In this paper, we are tackling the weakly-supervised referring expressio...
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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...
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11/17/2020
Extreme Value Preserving Networks
Recent evidence shows that convolutional neural networks (CNNs) are bias...
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10/18/2020
Poisoned classifiers are not only backdoored, they are fundamentally broken
Under a commonly-studied "backdoor" poisoning attack against classificat...
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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...
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03/04/2020
Black-box Smoothing: A Provable Defense for Pretrained Classifiers
We present a method for provably defending any pretrained image classifi...
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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...
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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...
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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...
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07/21/2019
Characterizing Attacks on Deep Reinforcement Learning
Deep reinforcement learning (DRL) has achieved great success in various ...
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10/30/2018
Data Poisoning Attack against Unsupervised Node Embedding Methods
Unsupervised node embedding methods (e.g., DeepWalk, LINE, and node2vec)...
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10/11/2018