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08/15/2023
A^2Nav: Action-Aware Zero-Shot Robot Navigation by Exploiting Vision-and-Language Ability of Foundation Models
We study the task of zero-shot vision-and-language navigation (ZS-VLN), ...
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07/22/2023
Learning Vision-and-Language Navigation from YouTube Videos
Vision-and-language navigation (VLN) requires an embodied agent to navig...
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07/19/2023
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation
We study the task of weakly-supervised point cloud semantic segmentation...
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07/16/2023
Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections
Neural Radiance Fields (NeRF) is a revolutionary approach for rendering ...
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05/25/2023
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
Adversarial detection aims to determine whether a given sample is an adv...
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05/22/2023
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment
Source-free Unsupervised Domain Adaptation (SF-UDA) aims to adapt a well...
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04/05/2023
Towards Efficient Task-Driven Model Reprogramming with Foundation Models
Vision foundation models exhibit impressive power, benefiting from the e...
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03/24/2023
Hard Sample Matters a Lot in Zero-Shot Quantization
Zero-shot quantization (ZSQ) is promising for compressing and accelerati...
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02/24/2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Test-time adaptation (TTA) has shown to be effective at tackling distrib...
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10/31/2022
Automatic Subspace Evoking for Efficient Neural Architecture Search
Neural Architecture Search (NAS) aims to automatically find effective ar...
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10/14/2022
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets
Designing feasible and effective architectures under diverse computation...
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10/14/2022
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation
We address a practical yet challenging problem of training robot agents ...
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10/14/2022
Learning Active Camera for Multi-Object Navigation
Getting robots to navigate to multiple objects autonomously is essential...
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10/12/2022
M^3Video: Masked Motion Modeling for Self-Supervised Video Representation Learning
We study self-supervised video representation learning that seeks to lea...
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08/25/2022
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification
Deep learning (DL) has made significant progress in angle closure classi...
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08/05/2022
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle
On the medical images, many of the tissues/lesions may be ambiguous. Tha...
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07/30/2022
DAS: Densely-Anchored Sampling for Deep Metric Learning
Deep Metric Learning (DML) serves to learn an embedding function to proj...
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07/22/2022
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation
This paper studies a new, practical but challenging problem, called Clas...
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07/16/2022
Towards Lightweight Super-Resolution with Dual Regression Learning
Deep neural networks have exhibited remarkable performance in image supe...
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04/06/2022
Efficient Test-Time Model Adaptation without Forgetting
Test-time adaptation (TTA) seeks to tackle potential distribution shifts...
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03/21/2022
Boost Test-Time Performance with Closed-Loop Inference
Conventional deep models predict a test sample with a single forward pro...
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12/01/2021
Graph Convolutional Module for Temporal Action Localization in Videos
Temporal action localization has long been researched in computer vision...
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11/25/2021
V2C: Visual Voice Cloning
Existing Voice Cloning (VC) tasks aim to convert a paragraph text to a s...
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08/17/2021
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
Instance segmentation in 3D scenes is fundamental in many applications o...
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08/03/2021
Elastic Architecture Search for Diverse Tasks with Different Resources
We study a new challenging problem of efficient deployment for diverse t...
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07/01/2021
AdaXpert: Adapting Neural Architecture for Growing Data
In real-world applications, data often come in a growing manner, where t...
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06/30/2021
Content-Aware Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have achieved great success due to ...
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03/13/2021
Internal Wasserstein Distance for Adversarial Attack and Defense
Deep neural networks (DNNs) are vulnerable to adversarial examples that ...
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03/13/2021
Learning Defense Transformers for Counterattacking Adversarial Examples
Deep neural networks (DNNs) are vulnerable to adversarial examples with ...
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03/08/2021
Contrastive Neural Architecture Search with Neural Architecture Comparators
One of the key steps in Neural Architecture Search (NAS) is to estimate ...
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02/27/2021
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets
Designing feasible and effective architectures under diverse computation...
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02/20/2021
Towards Accurate and Compact Architectures via Neural Architecture Transformer
Designing effective architectures is one of the key factors behind the s...
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01/19/2021
Deep View Synthesis via Self-Consistent Generative Network
View synthesis aims to produce unseen views from a set of views captured...
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01/13/2021
ABS: Automatic Bit Sharing for Model Compression
We present Automatic Bit Sharing (ABS) to automatically search for optim...
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01/04/2021
How to Train Your Agent to Read and Write
Reading and writing research papers is one of the most privileged abilit...
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10/10/2020
Double Forward Propagation for Memorized Batch Normalization
Batch Normalization (BN) has been a standard component in designing deep...
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09/05/2020
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-Identification
Person re-identification (Re-ID) via gait features within 3D skeleton se...
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08/21/2020
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
Gait-based person re-identification (Re-ID) is valuable for safety-criti...
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08/07/2020
Location-aware Graph Convolutional Networks for Video Question Answering
We addressed the challenging task of video question answering, which req...
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07/28/2020
Improving Generative Adversarial Networks with Local Coordinate Coding
Generative adversarial networks (GANs) have shown remarkable success in ...
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07/19/2020
Length-Controllable Image Captioning
The last decade has witnessed remarkable progress in the image captionin...
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07/14/2020
AQD: Towards Accurate Quantized Object Detection
Network quantization aims to lower the bitwidth of weights and activatio...
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07/14/2020
Generating Visually Aligned Sound from Videos
We focus on the task of generating sound from natural videos, and the so...
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06/17/2020
A Real-time Action Representation with Temporal Encoding and Deep Compression
Deep neural networks have achieved remarkable success for video-based ac...
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05/05/2020
AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography
Angle closure glaucoma (ACG) is a more aggressive disease than open-angl...
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04/30/2020
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19
The outbreak of novel coronavirus disease 2019 (COVID-19) has already in...
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04/07/2020
Dense Regression Network for Video Grounding
We address the problem of video grounding from natural language queries....
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03/31/2020
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays
Recently, deep neural networks (DNNs) have made great progress on automa...
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03/29/2020
Disturbance-immune Weight Sharing for Neural Architecture Search
Neural architecture search (NAS) has gained increasing attention in the ...
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03/16/2020