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05/31/2023
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
Code intelligence plays a key role in transforming modern software engin...
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05/24/2023
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Subject-driven text-to-image generation models create novel renditions o...
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05/13/2023
CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Large language models (LLMs) pretrained on vast source code have achieve...
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05/11/2023
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
General-purpose language models that can solve various language-domain t...
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01/30/2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
The cost of vision-and-language pre-training has become increasingly pro...
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12/21/2022
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Large language models (LLMs) have demonstrated excellent zero-shot gener...
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12/06/2022
Tackling Data Heterogeneity in Federated Learning with Class Prototypes
Data heterogeneity across clients in federated learning (FL) settings is...
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11/29/2022
BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems
We introduce BotSIM, a modular, open-source Bot SIMulation environment w...
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10/17/2022
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Visual question answering (VQA) is a hallmark of vision and language rea...
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09/15/2022
LAVIS: A Library for Language-Vision Intelligence
We introduce LAVIS, an open-source deep learning library for LAnguage-VI...
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06/07/2022
Masked Unsupervised Self-training for Zero-shot Image Classification
State-of-the-art computer vision models are mostly trained with supervis...
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01/28/2022
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Vision-Language Pre-training (VLP) has advanced the performance for many...
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12/17/2021
Align and Prompt: Video-and-Language Pre-training with Entity Prompts
Video-and-language pre-training has shown promising improvements on vari...
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11/18/2021
Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes
Despite great progress in object detection, most existing methods are li...
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10/19/2021
Improving Tail-Class Representation with Centroid Contrastive Learning
In vision domain, large-scale natural datasets typically exhibit long-ta...
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10/15/2021
Cascaded Fast and Slow Models for Efficient Semantic Code Search
The goal of natural language semantic code search is to retrieve a seman...
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07/16/2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Large-scale vision and language representation learning has shown promis...
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11/23/2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Semi-supervised learning has been an effective paradigm for leveraging u...
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09/17/2020
MoPro: Webly Supervised Learning with Momentum Prototypes
We propose a webly-supervised representation learning method that does n...
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07/23/2020
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation
Most existing object instance detection and segmentation models only wor...
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05/11/2020
Prototypical Contrastive Learning of Unsupervised Representations
This paper presents Prototypical Contrastive Learning (PCL), an unsuperv...
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03/30/2020
Improving out-of-distribution generalization via multi-task self-supervised pretraining
Self-supervised feature representations have been shown to be useful for...
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03/03/2020
Towards Noise-resistant Object Detection with Noisy Annotations
Training deep object detectors requires significant amount of human-anno...
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02/18/2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Deep neural networks are known to be annotation-hungry. Numerous efforts...
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02/09/2020
Weakly-Supervised Multi-Person Action Recognition in 360^∘ Videos
The recent development of commodity 360^∘ cameras have enabled a single ...
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02/09/2020
GradMix: Multi-source Transfer across Domains and Tasks
The computer vision community is witnessing an unprecedented rate of new...
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10/29/2019
Classification Calibration for Long-tail Instance Segmentation
Remarkable progress has been made in object instance detection and segme...
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12/13/2018
Visual Social Relationship Recognition
Social relationships form the basis of social structure of humans. Devel...
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12/13/2018
Learning to Learn from Noisy Labeled Data
Despite the success of deep neural networks (DNNs) in image classificati...
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09/06/2018
Unsupervised Learning of View-invariant Action Representations
The recent success in human action recognition with deep learning method...
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08/29/2018
Interact as You Intend: Intention-Driven Human-Object Interaction Detection
The recent advances in instance-level detection tasks lay strong foundat...
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07/25/2018
Video Storytelling
Bridging vision and natural language is a longstanding goal in computer ...
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08/03/2017
Attention Transfer from Web Images for Video Recognition
Training deep learning based video classifiers for action recognition re...
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08/02/2017