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12/06/2022
Semantic-Conditional Diffusion Networks for Image Captioning
Recent advances on text-to-image generation have witnessed the rise of d...
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11/15/2022
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement
In this paper, we propose a novel deep architecture tailored for 3D poin...
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07/11/2022
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning
Multi-scale Vision Transformer (ViT) has emerged as a powerful backbone ...
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07/11/2022
Dual Vision Transformer
Prior works have proposed several strategies to reduce the computational...
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06/14/2022
Comprehending and Ordering Semantics for Image Captioning
Comprehending the rich semantics in an image and ordering them in lingui...
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06/13/2022
Silver-Bullet-3D at ManiSkill 2021: Learning-from-Demonstrations and Heuristic Rule-based Methods for Object Manipulation
This paper presents an overview and comparative analysis of our systems ...
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01/11/2022
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training
Vision-language pre-training has been an emerging and fast-developing re...
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12/14/2021
CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and Denoising
BERT-type structure has led to the revolution of vision-language pre-tra...
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08/18/2021
X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
With the rise and development of deep learning over the past decade, the...
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07/26/2021
Contextual Transformer Networks for Visual Recognition
Transformer with self-attention has led to the revolutionizing of natura...
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01/27/2021
Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network
Despite having impressive vision-language (VL) pretraining with BERT-bas...
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07/05/2020
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training
In this work, we present Auto-captions on GIF, which is a new large-scal...
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06/11/2020
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation
Unsupervised domain adaptation has received significant attention in rec...
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03/31/2020
X-Linear Attention Networks for Image Captioning
Recent progress on fine-grained visual recognition and visual question a...
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10/08/2019
Multi-Source Domain Adaptation and Semi-Supervised Domain Adaptation with Focus on Visual Domain Adaptation Challenge 2019
This notebook paper presents an overview and comparative analysis of our...
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09/09/2019
Hierarchy Parsing for Image Captioning
It is always well believed that parsing an image into constituent visual...
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09/09/2019
Deep Metric Learning with Density Adaptivity
The problem of distance metric learning is mostly considered from the pe...
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06/14/2019
Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019
This notebook paper presents an overview and comparative analysis of our...
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05/03/2019
Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning
It is well believed that video captioning is a fundamental but challengi...
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04/25/2019
Pointing Novel Objects in Image Captioning
Image captioning has received significant attention with remarkable impr...
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04/25/2019
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
In this paper, we introduce a new idea for unsupervised domain adaptatio...
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09/19/2018
Exploring Visual Relationship for Image Captioning
It is always well believed that modeling relationships between objects w...
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04/23/2018
Jointly Localizing and Describing Events for Dense Video Captioning
Automatically describing a video with natural language is regarded as a ...
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08/17/2017
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects
Image captioning often requires a large set of training image-sentence p...
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11/05/2016
