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07/18/2023
Linearized Relative Positional Encoding
Relative positional encoding is widely used in vanilla and linear transf...
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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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05/11/2023
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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05/08/2023
Toeplitz Neural Network for Sequence Modeling
Sequence modeling has important applications in natural language process...
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02/27/2023
Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme
Semantic communications are expected to accomplish various semantic task...
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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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11/26/2022
PCRED: Zero-shot Relation Triplet Extraction with Potential Candidate Relation Selection and Entity Boundary Detection
Zero-shot relation triplet extraction (ZeroRTE) aims to extract relation...
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10/19/2022
The Devil in Linear Transformer
Linear transformers aim to reduce the quadratic space-time complexity of...
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09/18/2022
TODE-Trans: Transparent Object Depth Estimation with Transformer
Transparent objects are widely used in industrial automation and daily l...
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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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02/17/2022
cosFormer: Rethinking Softmax in Attention
Transformer has shown great successes in natural language processing, co...
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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
Transcribing Natural Languages for The Deaf via Neural Editing Programs
This work studies the task of glossification, of which the aim is to em ...
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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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10/11/2021
EDFace-Celeb-1M: Benchmarking Face Hallucination with a Million-scale Dataset
Recent deep face hallucination methods show stunning performance in supe...
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03/23/2021
Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework
Video deraining is an important task in computer vision as the unwanted ...
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03/12/2021
Dual Attention-in-Attention Model for Joint Rain Streak and Raindrop Removal
Rain streaks and rain drops are two natural phenomena, which degrade ima...
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03/07/2021
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Video deblurring models exploit consecutive frames to remove blurs from ...
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10/12/2020
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation
Sign language translation (SLT) aims to interpret sign video sequences i...
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03/08/2020
Transferring Cross-domain Knowledge for Video Sign Language Recognition
Word-level sign language recognition (WSLR) is a fundamental task in sig...
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10/24/2019
