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09/07/2023
InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
We present InstructDiffusion, a unifying and generic framework for align...
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08/13/2023
Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
The past decade has witnessed the rapid development of ML and DL methodo...
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06/06/2023
FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping
The dynamic request patterns of machine learning (ML) inference workload...
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05/24/2023
Label-Efficient Learning in Agriculture: A Comprehensive Review
The past decade has witnessed many great successes of machine learning (...
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03/24/2023
Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior
In this work, we investigate the problem of creating high-fidelity 3D co...
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03/22/2023
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
This work focuses on sign language retrieval-a recently proposed task fo...
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03/17/2023
IRGen: Generative Modeling for Image Retrieval
While generative modeling has been ubiquitous in natural language proces...
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03/16/2023
Efficient Diffusion Training via Min-SNR Weighting Strategy
Denoising diffusion models have been a mainstream approach for image gen...
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03/08/2023
O2RNet: Occluder-Occludee Relational Network for Robust Apple Detection in Clustered Orchard Environments
Automated apple harvesting has attracted significant research interest i...
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02/18/2023
Hyneter: Hybrid Network Transformer for Object Detection
In this paper, we point out that the essential differences between CNN-b...
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12/19/2022
FreeEnricher: Enriching Face Landmarks without Additional Cost
Recent years have witnessed significant growth of face alignment. Though...
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12/12/2022
CLIP Itself is a Strong Fine-tuner: Achieving 85.7 Accuracy with ViT-B and ViT-L on ImageNet
Recent studies have shown that CLIP has achieved remarkable success in p...
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12/07/2022
X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion
Copy-Paste is a simple and effective data augmentation strategy for inst...
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11/23/2022
Paint by Example: Exemplar-based Image Editing with Diffusion Models
Language-guided image editing has achieved great success recently. In th...
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11/22/2022
SinDiffusion: Learning a Diffusion Model from a Single Natural Image
We present SinDiffusion, leveraging denoising diffusion models to captur...
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11/18/2022
A Structure-Guided Diffusion Model for Large-Hole Diverse Image Completion
Diverse image completion, a problem of generating various ways of fillin...
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10/18/2022
Deep Data Augmentation for Weed Recognition Enhancement: A Diffusion Probabilistic Model and Transfer Learning Based Approach
Weed management plays an important role in many modern agricultural appl...
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10/05/2022
DigiFace-1M: 1 Million Digital Face Images for Face Recognition
State-of-the-art face recognition models show impressive accuracy, achie...
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09/12/2022
Explicitly Controllable 3D-Aware Portrait Generation
In contrast to the traditional avatar creation pipeline which is a costl...
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08/25/2022
MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
This paper presents a simple yet effective framework MaskCLIP, which inc...
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08/22/2022
Event-Triggered Model Predictive Control with Deep Reinforcement Learning for Autonomous Driving
Event-triggered model predictive control (eMPC) is a popular optimal con...
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07/14/2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining
We propose bootstrapped masked autoencoders (BootMAE), a new approach fo...
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06/30/2022
Semantic Image Synthesis via Diffusion Models
Denoising Diffusion Probabilistic Models (DDPMs) have achieved remarkabl...
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06/22/2022
I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation
In this paper, we present the Intra- and Inter-Human Relation Networks (...
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06/04/2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile
Recent years have seen a surge of interest in meta-learning techniques f...
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05/31/2022
Improved Vector Quantized Diffusion Models
Vector quantized diffusion (VQ-Diffusion) is a powerful generative model...
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05/27/2022
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation
Masked image modeling (MIM) learns representations with remarkably good ...
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04/18/2022
Distributed Neural Precoding for Hybrid mmWave MIMO Communications with Limited Feedback
Hybrid precoding is a cost-efficient technique for millimeter wave (mmWa...
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04/10/2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
In agricultural image analysis, optimal model performance is keenly purs...
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03/30/2022
Large-Scale Pre-training for Person Re-identification with Noisy Labels
This paper aims to address the problem of pre-training for person re-ide...
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03/29/2022
Semi-Supervised Image-to-Image Translation using Latent Space Mapping
Recent image-to-image translation works have been transferred from super...
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03/02/2022
Protecting Celebrities with Identity Consistency Transformer
In this work we propose Identity Consistency Transformer, a novel face f...
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01/13/2022
Observability Analysis and Keyframe-Based Filtering for Visual Inertial Odometry with Full Self-Calibration
Camera-IMU (Inertial Measurement Unit) sensor fusion has been extensivel...
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12/20/2021
StyleSwin: Transformer-based GAN for High-resolution Image Generation
Despite the tantalizing success in a broad of vision tasks, transformers...
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12/06/2021
General Facial Representation Learning in a Visual-Linguistic Manner
How to learn a universal facial representation that boosts all face anal...
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11/29/2021
Vector Quantized Diffusion Model for Text-to-Image Synthesis
We present the vector quantized diffusion (VQ-Diffusion) model for text-...
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11/24/2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
This paper explores a better codebook for BERT pre-training of vision tr...
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11/11/2021
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
Autonomous driving has attracted significant research interests in the p...
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10/13/2021
Offline Reinforcement Learning for Autonomous Driving with Safety and Exploration Enhancement
Reinforcement learning (RL) is a powerful data-driven control method tha...
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10/11/2021
Performance Evaluation of Deep Transfer Learning on Multiclass Identification of Common Weed Species in Cotton Production Systems
Precision weed management offers a promising solution for sustainable cr...
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09/17/2021
Proteome-informed machine learning studies of cocaine addiction
Cocaine addiction accounts for a large portion of substance use disorder...
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08/15/2021
Exploring Temporal Coherence for More General Video Face Forgery Detection
Although current face manipulation techniques achieve impressive perform...
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08/13/2021
Dual Path Learning for Domain Adaptation of Semantic Segmentation
Domain adaptation for semantic segmentation enables to alleviate the nee...
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08/10/2021
Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
Contrastive learning shows great potential in unpaired image-to-image tr...
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07/24/2021
BIoTA Control-Aware Attack Analytics for Building Internet of Things
Modern building control systems adopt demand control heating, ventilatio...
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07/08/2021
Reinforcement Learning based Negotiation-aware Motion Planning of Autonomous Vehicles
For autonomous vehicles integrating onto roadways with human traffic par...
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07/01/2021
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
We present CSWin Transformer, an efficient and effective Transformer-bas...
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06/01/2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation
Recent semi-supervised learning (SSL) methods are commonly based on pseu...
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03/29/2021
High-Fidelity and Arbitrary Face Editing
Cycle consistency is widely used for face editing. However, we observe t...
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03/22/2021