research
∙
08/07/2023
Dual Aggregation Transformer for Image Super-Resolution
Transformer has recently gained considerable popularity in low-level vis...
share
research
∙
07/03/2023
Segment Anything Meets Point Tracking
The Segment Anything Model (SAM) has established itself as a powerful ze...
research
∙
07/18/2022
Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities
Bitcoin is the most secure blockchain in the world, supported by the imm...
research
∙
01/24/2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Free-form inpainting is the task of adding new content to an image in th...
research
∙
01/20/2022
Babylon: Reusing Bitcoin Mining to Enhance Proof-of-Stake Security
Bitcoin is the most secure blockchain in the world, supported by the imm...
research
∙
11/26/2021
Mask Transfiner for High-Quality Instance Segmentation
Two-stage and query-based instance segmentation methods have achieved re...
research
∙
08/18/2021
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
We propose a deep reparametrization of the maximum a posteriori formulat...
research
∙
03/16/2020
Frustratingly Simple Few-Shot Object Detection
Detecting rare objects from a few examples is an emerging problem. Prior...
research
∙
12/15/2018
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Existing deep learning methods for pixel correspondence output a point e...
research
∙
12/05/2018
Few-shot Object Detection via Feature Reweighting
This work aims to solve the challenging few-shot object detection proble...
research
∙
11/13/2018
Deep Object Centric Policies for Autonomous Driving
While learning visuomotor skills in an end-to-end manner is appealing, d...
research
∙
06/05/2018
Deep Mixture of Experts via Shallow Embedding
Larger networks generally have greater representational power at the cos...
research
∙
05/12/2018
BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling
Datasets drive vision progress and autonomous driving is a critical visi...
research
∙
11/26/2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
Increasing depth and complexity in convolutional neural networks has ena...
research
∙
07/20/2017
Deep Layer Aggregation
Convolutional networks have had great success in image classification an...
research
∙
06/16/2017
Interactive 3D Modeling with a Generative Adversarial Network
This paper proposes the idea of using a generative adversarial network (...
research
∙
12/02/2016
Scribbler: Controlling Deep Image Synthesis with Sketch and Color
Recently, there have been several promising methods to generate realisti...
research
∙
12/09/2015
ShapeNet: An Information-Rich 3D Model Repository
We present ShapeNet: a richly-annotated, large-scale repository of shape...
research
∙
06/10/2015
