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06/15/2023
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
Recent advances in neural reconstruction enable high-quality 3D object r...
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04/23/2023
Indiscernible Object Counting in Underwater Scenes
Recently, indiscernible scene understanding has attracted a lot of atten...
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03/31/2023
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
Neural-network-based single image depth prediction (SIDP) is a challengi...
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03/20/2023
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
We propose MM-REACT, a system paradigm that integrates ChatGPT with a po...
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02/13/2023
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
We introduce VA-DepthNet, a simple, effective, and accurate deep neural ...
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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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12/07/2022
X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion
Copy-Paste is a simple and effective data augmentation strategy for inst...
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09/15/2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
This paper presents OmniVL, a new foundation model to support both image...
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06/15/2022
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
Vision-language (VL) pre-training has recently received considerable att...
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06/14/2022
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling
Unified vision-language frameworks have greatly advanced in recent years...
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06/03/2022
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning
People say, "A picture is worth a thousand words". Then how can we get t...
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05/27/2022
GIT: A Generative Image-to-text Transformer for Vision and Language
In this paper, we design and train a Generative Image-to-text Transforme...
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04/20/2022
K-LITE: Learning Transferable Visual Models with External Knowledge
Recent state-of-the-art computer vision systems are trained from natural...
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04/07/2022
Unified Contrastive Learning in Image-Text-Label Space
Visual recognition is recently learned via either supervised learning on...
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02/08/2022
MaskGIT: Masked Generative Image Transformer
Generative transformers have experienced rapid popularity growth in the ...
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11/30/2021
Pyramid Adversarial Training Improves ViT Performance
Aggressive data augmentation is a key component of the strong generaliza...
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11/22/2021
Florence: A New Foundation Model for Computer Vision
Automated visual understanding of our diverse and open world demands com...
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10/27/2021
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition
Decomposing a scene into its shape, reflectance and illumination is a fu...
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09/02/2021
SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting
Single image 3D photography enables viewers to view a still image from n...
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07/09/2021
ViTGAN: Training GANs with Vision Transformers
Recently, Vision Transformers (ViTs) have shown competitive performance ...
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05/06/2021
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Remarkable progress has been made in 3D reconstruction of rigid structur...
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04/29/2021
AutoFlow: Learning a Better Training Set for Optical Flow
Synthetic datasets play a critical role in pre-training CNN models for o...
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04/27/2021
Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings
Digital watermarking is widely used for copyright protection. Traditiona...
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04/26/2021
DVMark: A Deep Multiscale Framework for Video Watermarking
Video watermarking embeds a message into a cover video in an imperceptib...
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12/07/2020
NeRD: Neural Reflectance Decomposition from Image Collections
Decomposing a scene into its shape, reflectance, and illumination is a c...
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07/07/2020
Stability in Repeated Matching Markets
This paper develops a framework for repeated matching markets. The model...
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12/24/2019
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling
We describe a technique that automatically generates plausible depth map...
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08/19/2019
Boundless: Generative Adversarial Networks for Image Extension
Image extension models have broad applications in image editing, computa...
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04/25/2019
Learning the Depths of Moving People by Watching Frozen People
We present a method for predicting dense depth in scenarios where both a...
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12/21/2017