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09/21/2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Large language models (LLMs) have pushed the limits of natural language ...
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09/10/2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Diffusion Probabilistic Models (DPMs) have achieved considerable success...
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08/26/2023
Beyond One-to-One: Rethinking the Referring Image Segmentation
Referring image segmentation aims to segment the target object referred ...
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08/15/2023
Forward-Backward Reasoning in Large Language Models for Verification
Chain-of-Though (CoT) prompting has shown promising performance in vario...
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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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07/17/2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
In generative modeling, numerous successful approaches leverage a low-di...
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07/13/2023
A Causal Framework to Unify Common Domain Generalization Approaches
Domain generalization (DG) is about learning models that generalize well...
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07/12/2023
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation
Despite the stunning ability to generate high-quality images by recent t...
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07/05/2023
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks
Generative models can be categorized into two types: explicit generative...
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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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07/04/2023
Training Energy-Based Models with Diffusion Contrastive Divergences
Energy-Based Models (EBMs) have been widely used for generative modeling...
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06/28/2023
DiffComplete: Diffusion-based Generative 3D Shape Completion
We introduce a new diffusion-based approach for shape completion on 3D r...
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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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06/05/2023
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
The proliferation of pretrained models, as a result of advancements in p...
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05/29/2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Due to the ease of training, ability to scale, and high sample quality, ...
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05/24/2023
On the Generalization of Diffusion Model
The diffusion probabilistic generative models are widely used to generat...
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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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04/19/2023
Progressive-Hint Prompting Improves Reasoning in Large Language Models
The performance of Large Language Models (LLMs) in reasoning tasks depen...
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04/13/2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
Diffusion models have proven to be highly effective in generating high-q...
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04/10/2023
DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment
This paper presents DetCLIPv2, an efficient and scalable training framew...
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04/03/2023
DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving
Safety is the primary priority of autonomous driving. Nevertheless, no p...
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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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02/22/2023
Entity-Level Text-Guided Image Manipulation
Existing text-guided image manipulation methods aim to modify the appear...
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12/24/2022
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Out-of-Distribution (OOD) detection, i.e., identifying whether an input ...
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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
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Recent advances on large-scale pre-training have shown great potentials ...
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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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10/09/2022
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
We present a novel two-stage fully sparse convolutional 3D object detect...
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09/20/2022
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
Open-world object detection, as a more general and challenging goal, aim...
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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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07/14/2022
Improved OOD Generalization via Conditional Invariant Regularizer
Recently, generalization on out-of-distribution (OOD) data with correlat...
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07/14/2022
Learning to Prove Trigonometric Identities
Automatic theorem proving with deep learning methods has attracted atten...
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06/10/2022
PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework
Generative model based image lossless compression algorithms have seen a...
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06/08/2022
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
Unsupervised contrastive learning for indoor-scene point clouds has achi...
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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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05/25/2022
ZeroGen^+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning
Nowadays, owing to the superior capacity of the large pre-trained langua...
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04/12/2022
Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search
Neural Architecture Search (NAS) aims to find efficient models for multi...
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04/09/2022
ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation
Existing text-guided image manipulation methods aim to modify the appear...
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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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03/16/2022
On Redundancy and Diversity in Cell-based Neural Architecture Search
Searching for the architecture cells is a dominant paradigm in NAS. Howe...
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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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02/17/2022
Revisiting Over-smoothing in BERT from the Perspective of Graph
Recently over-smoothing phenomenon of Transformer-based models is observ...
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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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01/27/2022
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
Neural architecture search (NAS) has shown encouraging results in automa...
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12/13/2021