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09/18/2023
Unsupervised Open-Vocabulary Object Localization in Videos
In this paper, we show that recent advances in video representation lear...
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09/16/2023
In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval
Large-scale noisy web image-text datasets have been proven to be efficie...
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09/12/2023
Certified Robust Models with Slack Control and Large Lipschitz Constants
Despite recent success, state-of-the-art learning-based models remain hi...
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09/07/2023
SimNP: Learning Self-Similarity Priors Between Neural Points
Existing neural field representations for 3D object reconstruction eithe...
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09/01/2023
Object-Centric Multiple Object Tracking
Unsupervised object-centric learning methods allow the partitioning of s...
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08/15/2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
Jointly processing information from multiple sensors is crucial to achie...
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06/30/2023
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying
Motion prediction is crucial for autonomous driving systems to understan...
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06/19/2023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
We present a new direction for increasing the interpretability of deep n...
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05/22/2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
Current semantic segmentation models have achieved great success under t...
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05/08/2023
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding
Masked signal modeling has greatly advanced self-supervised pre-training...
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04/06/2023
Continual Detection Transformer for Incremental Object Detection
Incremental object detection (IOD) aims to train an object detector in p...
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03/24/2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
Exemplar-based class-incremental learning (CIL) finetunes the model with...
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03/23/2023
Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data
Most approaches for self-supervised learning (SSL) are optimised on cura...
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03/21/2023
Using Explanations to Guide Models
Deep neural networks are highly performant, but might base their decisio...
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03/21/2023
Better Understanding Differences in Attribution Methods via Systematic Evaluations
Deep neural networks are very successful on many vision tasks, but hard ...
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03/20/2023
Robustifying Token Attention for Vision Transformers
Despite the success of vision transformers (ViTs), they still suffer fro...
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03/02/2023
A Meta-Learning Approach to Predicting Performance and Data Requirements
We propose an approach to estimate the number of samples required for a ...
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02/02/2023
No One Left Behind: Real-World Federated Class-Incremental Learning
Federated learning (FL) is a hot collaborative training framework via ag...
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01/26/2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
The critical challenge of Semi-Supervised Learning (SSL) is how to effec...
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01/20/2023
Holistically Explainable Vision Transformers
Transformers increasingly dominate the machine learning landscape across...
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01/20/2023
Visual Writing Prompts: Character-Grounded Story Generation with Curated Image Sequences
Current work on image-based story generation suffers from the fact that ...
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01/15/2023
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
Designing an efficient yet deployment-friendly 3D backbone to handle spa...
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01/14/2023
RMM: Reinforced Memory Management for Class-Incremental Learning
Class-Incremental Learning (CIL) [40] trains classifiers under a strict ...
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01/11/2023
Online Hyperparameter Optimization for Class-Incremental Learning
Class-incremental learning (CIL) aims to train a classification model wh...
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01/05/2023
Learning by Sorting: Self-supervised Learning with Group Ordering Constraints
Contrastive learning has become a prominent ingredient in learning repre...
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12/15/2022
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation
For best performance, today's semantic segmentation methods use large an...
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11/20/2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Semi-supervised learning (SSL) has shown great promise in leveraging unl...
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11/08/2022
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Improving model's generalizability against domain shifts is crucial, esp...
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09/27/2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
Predicting multimodal future behavior of traffic participants is essenti...
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09/23/2022
Leveraging Self-Supervised Training for Unintentional Action Recognition
Unintentional actions are rare occurrences that are difficult to define ...
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09/23/2022
TeST: Test-time Self-Training under Distribution Shift
Despite their recent success, deep neural networks continue to perform p...
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09/20/2022
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge – Motion Prediction
In this report, we present the 1st place solution for motion prediction ...
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09/13/2022
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers
Annotating bounding boxes for object detection is expensive, time-consum...
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08/17/2022
MoCapDeform: Monocular 3D Human Motion Capture in Deformable Scenes
3D human motion capture from monocular RGB images respecting interaction...
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08/12/2022
USB: A Unified Semi-supervised Learning Benchmark
Semi-supervised learning (SSL) improves model generalization by leveragi...
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07/19/2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Since out-of-distribution generalization is a generally ill-posed proble...
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06/16/2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Adapting to a continuously evolving environment is a safety-critical cha...
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05/20/2022
Towards Better Understanding Attribution Methods
Deep neural networks are very successful on many vision tasks, but hard ...
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05/20/2022
B-cos Networks: Alignment is All We Need for Interpretability
We present a new direction for increasing the interpretability of deep n...
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05/12/2022
Bi-level Alignment for Cross-Domain Crowd Counting
Recently, crowd density estimation has received increasing attention. Th...
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04/26/2022
On Fragile Features and Batch Normalization in Adversarial Training
Modern deep learning architecture utilize batch normalization (BN) to st...
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04/05/2022
RBGNet: Ray-based Grouping for 3D Object Detection
As a fundamental problem in computer vision, 3D object detection is expe...
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04/04/2022
Attribute Prototype Network for Any-Shot Learning
Any-shot image classification allows to recognize novel classes with onl...
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03/30/2022
Omni-DETR: Omni-Supervised Object Detection with Transformers
We consider the problem of omni-supervised object detection, which can u...
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03/20/2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
Human-annotated attributes serve as powerful semantic embeddings in zero...
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03/02/2022
A Unified Query-based Paradigm for Point Cloud Understanding
3D point cloud understanding is an important component in autonomous dri...
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01/30/2022
Improving Corruption and Adversarial Robustness by Enhancing Weak Subnets
Deep neural networks have achieved great success in many computer vision...
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12/10/2021
Revisiting Consistency Regularization for Semi-Supervised Learning
Consistency regularization is one of the most widely-used techniques for...
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12/08/2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
In this paper, we propose a novel co-learning framework (CoSSL) with dec...
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11/16/2021
