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09/13/2023
TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification
Vision and Language Models (VLMs), such as CLIP, have enabled visual rec...
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05/29/2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections
Recently, large-scale pre-trained Vision and Language (VL) models have s...
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03/15/2023
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge
Large scale Vision-Language (VL) models have shown tremendous success in...
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03/09/2023
TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering
Temporal action segmentation in untrimmed videos has gained increased at...
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12/14/2022
MAELi – Masked Autoencoder for Large-Scale LiDAR Point Clouds
We show how the inherent, but often neglected, properties of large-scale...
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12/06/2022
Sparse Message Passing Network with Feature Integration for Online Multiple Object Tracking
Existing Multiple Object Tracking (MOT) methods design complex architect...
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11/24/2022
Video Test-Time Adaptation for Action Recognition
Although action recognition systems can achieve top performance when eva...
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11/23/2022
ActMAD: Activation Matching to Align Distributions for Test-Time-Training
Test-Time-Training (TTT) is an approach to cope with out-of-distribution...
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11/21/2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
We propose MATE, the first Test-Time-Training (TTT) method designed for ...
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11/10/2022
Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses
Keyless entry systems in cars are adopting neural networks for localizin...
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10/14/2022
SAILOR: Scaling Anchors via Insights into Latent Object Representation
LiDAR 3D object detection models are inevitably biased towards their tra...
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04/13/2022
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data
While 3D object detection in LiDAR point clouds is well-established in a...
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03/30/2022
CycDA: Unsupervised Cycle Domain Adaptation from Image to Video
Although action recognition has achieved impressive results over recent ...
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03/20/2022
3D Human Pose Estimation Using Möbius Graph Convolutional Networks
3D human pose estimation is fundamental to understanding human behavior....
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12/01/2021
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
Domain adaptation is crucial to adapt a learned model to new scenarios, ...
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10/18/2021
FAST3D: Flow-Aware Self-Training for 3D Object Detectors
In the field of autonomous driving, self-training is widely applied to m...
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12/18/2019
FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data
We introduce a simple yet effective fusion method of LiDAR and RGB data ...
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05/09/2018
Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems
Automated toll systems rely on proper classification of the passing vehi...
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01/15/2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Learning similarity functions between image pairs with deep neural netwo...
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09/01/2016