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10/20/2022
PalGAN: Image Colorization with Palette Generative Adversarial Networks
Multimodal ambiguity and color bleeding remain challenging in colorizati...
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03/29/2022
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
Recent studies have shown the importance of modeling long-range interact...
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09/15/2021
Image Synthesis via Semantic Composition
In this paper, we present a novel approach to synthesize realistic image...
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08/26/2021
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
Separating 3D point clouds into individual instances is an important tas...
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08/17/2021
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision
In this paper, we present a conceptually simple, strong, and efficient f...
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05/21/2021
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and Beyond
Single image super-resolution (SISR) deals with a fundamental problem of...
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03/31/2021
Scale-aware Automatic Augmentation for Object Detection
We propose Scale-aware AutoAug to learn data augmentation policies for o...
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03/29/2021
Best-Buddy GANs for Highly Detailed Image Super-Resolution
We consider the single image super-resolution (SISR) problem, where a hi...
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07/23/2020
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
Video super-resolution (VSR) aims to utilize multiple low-resolution fra...
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03/13/2020
PointINS: Point-based Instance Segmentation
A single-point feature has shown its effectiveness in object detection. ...
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10/20/2018
Sequential Context Encoding for Duplicate Removal
Duplicate removal is a critical step to accomplish a reasonable amount o...
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03/05/2018
Path Aggregation Network for Instance Segmentation
The way that information propagates in neural networks is of great impor...
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03/25/2016