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08/15/2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
Given a classifier, the inherent property of semantic Out-of-Distributio...
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07/04/2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Recent Diffusion Transformers (e.g., DiT) have demonstrated their powerf...
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06/07/2023
Integrating Geometric Control into Text-to-Image Diffusion Models for High-Quality Detection Data Generation via Text Prompt
Diffusion models have attracted significant attention due to their remar...
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05/18/2023
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
Neural Radiance Fields (NeRF) has demonstrated remarkable 3D reconstruct...
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05/15/2023
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
The text-driven image and video diffusion models have achieved unprecede...
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05/09/2023
Boosting Visual-Language Models by Exploiting Hard Samples
Large vision and language models, such as Contrastive Language-Image Pre...
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04/19/2023
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
Perception systems in modern autonomous driving vehicles typically take ...
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04/13/2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Few-shot learning (FSL) via customization of a deep learning network wit...
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03/30/2023
DDP: Diffusion Model for Dense Visual Prediction
We propose a simple, efficient, yet powerful framework for dense visual ...
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03/30/2023
Mixed Autoencoder for Self-supervised Visual Representation Learning
Masked Autoencoder (MAE) has demonstrated superior performance on variou...
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03/20/2023
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning
Although many recent works have investigated generalizable NeRF-based no...
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12/14/2022
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
Although DETR-based 3D detectors can simplify the detection pipeline and...
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10/31/2022
Generative Negative Text Replay for Continual Vision-Language Pretraining
Vision-language pre-training (VLP) has attracted increasing attention re...
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10/17/2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving
Object detection for autonomous vehicles has received increasing attenti...
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10/11/2022
Continual Learning by Modeling Intra-Class Variation
It has been observed that neural networks perform poorly when the data o...
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09/14/2022
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
Self-supervised depth learning from monocular images normally relies on ...
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05/26/2022
Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing
Self-supervised learning (SSL), especially contrastive methods, has rais...
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03/29/2022
Generalizing Few-Shot NAS with Gradient Matching
Efficient performance estimation of architectures drawn from large searc...
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03/15/2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving
Contemporary deep-learning object detection methods for autonomous drivi...
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02/14/2022
Memory Replay with Data Compression for Continual Learning
Continual learning needs to overcome catastrophic forgetting of the past...
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09/13/2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture
Automated machine learning (AutoML) usually involves several crucial com...
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09/05/2021
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
Recent advances on Out-of-Distribution (OoD) generalization reveal the r...
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09/02/2021
Adversarial Robustness for Unsupervised Domain Adaptation
Extensive Unsupervised Domain Adaptation (UDA) studies have shown great ...
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08/27/2021
MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving
Autonomous driving has attracted much attention over the years but turns...
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07/20/2021
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
Existing long-tailed recognition methods, aiming to train class-balance ...
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06/21/2021
SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving
Aiming at facilitating a real-world, ever-evolving and scalable autonomo...
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06/15/2021
Contextualizing Multiple Tasks via Learning to Decompose
One single instance could possess multiple portraits and reveal diverse ...
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06/07/2021
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms
Deep learning has achieved tremendous success with independent and ident...
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04/25/2021
How Well Self-Supervised Pre-Training Performs with Streaming Data?
The common self-supervised pre-training practice requires collecting mas...
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01/05/2021
Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
Semi-supervised domain adaptation (SSDA), which aims to learn models in ...
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01/02/2021
ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning
Continual learning usually assumes the incoming data are fully labeled, ...
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12/22/2020
MetaAugment: Sample-Aware Data Augmentation Policy Learning
Automated data augmentation has shown superior performance in image reco...
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12/17/2020
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
While deep learning demonstrates its strong ability to handle independen...
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10/16/2020