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09/21/2023
TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance
In this paper, we propose a novel cross-modal distillation method, calle...
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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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09/26/2022
Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization
Outlier detection tasks have been playing a critical role in AI safety. ...
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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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12/14/2021
CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning
Localizing text instances in natural scenes is regarded as a fundamental...
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11/29/2021
Searching the Search Space of Vision Transformer
Vision Transformer has shown great visual representation power in substa...
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11/05/2021
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers
We present a new perspective of achieving image synthesis by viewing thi...
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08/10/2021
Reference-based Defect Detection Network
The defect detection task can be regarded as a realistic scenario of obj...
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08/05/2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Unsupervised learning is just at a tipping point where it could really t...
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07/29/2021
Rethinking and Improving Relative Position Encoding for Vision Transformer
Relative position encoding (RPE) is important for transformer to capture...
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04/05/2021
3D Human Body Reshaping with Anthropometric Modeling
Reshaping accurate and realistic 3D human bodies from anthropometric par...
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04/03/2021
Aggregated Contextual Transformations for High-Resolution Image Inpainting
State-of-the-art image inpainting approaches can suffer from generating ...
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07/20/2020
Learning Joint Spatial-Temporal Transformations for Video Inpainting
High-quality video inpainting that completes missing regions in video fr...
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12/04/2019
Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy
Automatically standardizing nomenclature for anatomical structures in ra...
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10/20/2019
Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis
In this paper, we propose a simple yet effective method to endow deep 3D...
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09/11/2019
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection
We study on weakly-supervised object detection (WSOD) which plays a vita...
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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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08/14/2019
Justlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables
Deep models are capable of fitting complex high dimensional functions wh...
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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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04/16/2019
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
High-quality image inpainting requires filling missing regions in a dama...
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10/23/2018
Face Recognition from Sequential Sparse 3D data via Deep Registration
Previous works have shown that face recognition with high accuracy 3D da...
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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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11/24/2016
Automatically Building Face Datasets of New Domains from Weakly Labeled Data with Pretrained Models
Training data are critical in face recognition systems. However, labelin...
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11/24/2016
Deep Joint Face Hallucination and Recognition
Deep models have achieved impressive performance for face hallucination ...
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11/15/2016
One-to-Many Network for Visually Pleasing Compression Artifacts Reduction
We consider the compression artifacts reduction problem, where a compres...
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02/05/2016
Effective Clipart Image Vectorization Through Direct Optimization of Bezigons
Bezigons, i.e., closed paths composed of Bézier curves, have been widely...
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12/11/2015