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HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
We present HoHoNet, a versatile and efficient framework for holistic und...
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Learning Camera-Aware Noise Models
Modeling imaging sensor noise is a fundamental problem for image process...
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Learning Gaussian Instance Segmentation in Point Clouds
This paper presents a novel method for instance segmentation of 3D point...
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Silhouette-Net: 3D Hand Pose Estimation from Silhouettes
3D hand pose estimation has received a lot of attention for its wide ran...
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One-Shot Object Detection with Co-Attention and Co-Excitation
This paper aims to tackle the challenging problem of one-shot object det...
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Flat2Layout: Flat Representation for Estimating Layout of General Room Types
This paper proposes a new approach, Flat2Layout, for estimating general ...
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Instance-Level Meta Normalization
This paper presents a normalization mechanism called Instance-Level Meta...
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C2S2: Cost-aware Channel Sparse Selection for Progressive Network Pruning
This paper describes a channel-selection approach for simplifying deep n...
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Point-to-Point Video Generation
While image manipulation achieves tremendous breakthroughs (e.g., genera...
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COCO-GAN: Generation by Parts via Conditional Coordinating
Humans can only interact with part of the surrounding environment due to...
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Bridging the Gap Between Computational Photography and Visual Recognition
What is the current state-of-the-art for image restoration and enhanceme...
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HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation
We present a new approach to the problem of estimating 3D room layout fr...
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Unsupervised Meta-learning of Figure-Ground Segmentation via Imitating Visual Effects
This paper presents a "learning to learn" approach to figure-ground imag...
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SwipeCut: Interactive Segmentation with Diversified Seed Proposals
Interactive image segmentation algorithms rely on the user to provide an...
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Non-local RoI for Cross-Object Perception
We present a generic and flexible module that encodes region proposals b...
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Escaping from Collapsing Modes in a Constrained Space
Generative adversarial networks (GANs) often suffer from unpredictable m...
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Non-local RoIs for Instance Segmentation
We introduce the concept of Non-Local RoI (NL-RoI) Block as a generic an...
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Self Adversarial Training for Human Pose Estimation
This paper presents a deep learning based approach to the problem of hum...
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Quantitative Analysis of Automatic Image Cropping Algorithms: A Dataset and Comparative Study
Automatic photo cropping is an important tool for improving visual quali...
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