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09/18/2023
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Visual instruction tuning has recently shown encouraging progress with o...
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07/25/2023
Benchmarking and Analyzing Generative Data for Visual Recognition
Advancements in large pre-trained generative models have expanded their ...
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06/29/2023
Generate Anything Anywhere in Any Scene
Text-to-image diffusion models have attracted considerable interest due ...
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06/01/2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Conversational generative AI has demonstrated remarkable promise for emp...
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04/17/2023
Visual Instruction Tuning
Instruction tuning large language models (LLMs) using machine-generated ...
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04/11/2023
Data-Efficient Image Quality Assessment with Attention-Panel Decoder
Blind Image Quality Assessment (BIQA) is a fundamental task in computer ...
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03/21/2023
TMA: Temporal Motion Aggregation for Event-based Optical Flow
Event cameras have the ability to record continuous and detailed traject...
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01/17/2023
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Image-text contrastive learning models such as CLIP have demonstrated st...
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01/17/2023
GLIGEN: Open-Set Grounded Text-to-Image Generation
Large-scale text-to-image diffusion models have made amazing advances. H...
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04/19/2022
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
Learning visual representations from natural language supervision has re...
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04/06/2022
End-to-End Instance Edge Detection
Edge detection has long been an important problem in the field of comput...
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03/30/2022
One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control in Active Distribution Networks
A one-step two-critic deep reinforcement learning (OSTC-DRL) approach fo...
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03/21/2022
Masked Discrimination for Self-Supervised Learning on Point Clouds
Masked autoencoding has achieved great success for self-supervised learn...
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10/30/2021
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images
Feature reassembly is an essential component in modern CNNs-based segmen...
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04/13/2021
Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devices
In Volt/Var control (VVC) of active distribution networks(ADNs), both sl...
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12/22/2020
YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS)
We propose YolactEdge, the first competitive instance segmentation appro...
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12/03/2020
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images
Automated segmentation of hard exudates in colour fundus images is a cha...
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06/23/2020
Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control
The distributed Volt/Var control (VVC) methods have been widely studied ...
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05/20/2020
Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks
Model-based Vol/VAR optimization method is widely used to eliminate volt...
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10/06/2019