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07/25/2023
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
As the size of transformer-based models continues to grow, fine-tuning t...
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05/03/2023
CLUSTSEG: Clustering for Universal Segmentation
We present CLUSTSEG, a general, transformer-based framework that tackles...
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04/28/2023
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving
Multi-sensor fusion (MSF) is widely adopted for perception in autonomous...
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04/23/2023
TransFlow: Transformer as Flow Learner
Optical flow is an indispensable building block for various important co...
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04/12/2023
Exploiting Logic Locking for a Neural Trojan Attack on Machine Learning Accelerators
Logic locking has been proposed to safeguard intellectual property (IP) ...
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01/31/2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
Monocular Depth Estimation (MDE) is a critical component in applications...
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10/03/2022
Learning Equivariant Segmentation with Instance-Unique Querying
Prevalent state-of-the-art instance segmentation methods fall into a que...
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09/15/2022
Visual Recognition with Deep Nearest Centroids
We devise deep nearest centroids (DNC), a conceptually elegant yet surpr...
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08/19/2022
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian
Facial pose estimation refers to the task of predicting face orientation...
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07/11/2022
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
Deep learning has substantially boosted the performance of Monocular Dep...
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05/22/2022
GL-RG: Global-Local Representation Granularity for Video Captioning
Video captioning is a challenging task as it needs to accurately transfo...
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03/05/2022
Deep Partial Multiplex Network Embedding
Network embedding is an effective technique to learn the low-dimensional...
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02/01/2022
WebFormer: The Web-page Transformer for Structure Information Extraction
Structure information extraction refers to the task of extracting struct...
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10/15/2021
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
Multi-object tracking and segmentation (MOTS) is a critical task for aut...
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08/12/2021
TF-Blender: Temporal Feature Blender for Video Object Detection
Video objection detection is a challenging task because isolated video f...
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03/18/2021
SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation
Video instance segmentation (VIS) is a new and critical task in computer...
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02/18/2021
Hierarchical Attention Fusion for Geo-Localization
Geo-localization is a critical task in computer vision. In this work, we...
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12/04/2020
DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregation
In this work, we introduce a Denser Feature Network (DenserNet) for visu...
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10/14/2020
A Vector-based Representation to Enhance Head Pose Estimation
This paper proposes to use the three vectors in a rotation matrix as the...
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09/01/2020
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning
Vision and voice are two vital keys for agents' interaction and learning...
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08/13/2020
