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08/02/2022
Multiview Regenerative Morphing with Dual Flows
This paper aims to address a new task of image morphing under a multivie...
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06/10/2022
Improved Direct Voxel Grid Optimization for Radiance Fields Reconstruction
In this technical report, we improve the DVGO framework (called DVGOv2),...
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05/31/2022
Mask2Hand: Learning to Predict the 3D Hand Pose and Shape from Shadow
We present a self-trainable method, Mask2Hand, which learns to solve the...
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03/30/2022
Self-supervised 360^∘ Room Layout Estimation
We present the first self-supervised method to train panoramic room layo...
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12/23/2021
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
We present a pose adaptive few-shot learning procedure and a two-stage d...
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11/22/2021
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
We present a super-fast convergence approach to reconstructing the per-s...
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08/04/2021
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation
We present a novel pyramidal output representation to ensure parsimony w...
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06/27/2021
Indoor Panorama Planar 3D Reconstruction via Divide and Conquer
Indoor panorama typically consists of human-made structures parallel or ...
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06/21/2021
Moving in a 360 World: Synthesizing Panoramic Parallaxes from a Single Panorama
We present Omnidirectional Neural Radiance Fields (OmniNeRF), the first ...
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04/13/2021
DropLoss for Long-Tail Instance Segmentation
Long-tailed class distributions are prevalent among the practical applic...
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11/23/2020
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
We present HoHoNet, a versatile and efficient framework for holistic und...
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08/21/2020
Learning Camera-Aware Noise Models
Modeling imaging sensor noise is a fundamental problem for image process...
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07/20/2020
Learning Gaussian Instance Segmentation in Point Clouds
This paper presents a novel method for instance segmentation of 3D point...
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12/28/2019
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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11/28/2019
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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05/29/2019
Flat2Layout: Flat Representation for Estimating Layout of General Room Types
This paper proposes a new approach, Flat2Layout, for estimating general ...
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04/06/2019
Instance-Level Meta Normalization
This paper presents a normalization mechanism called Instance-Level Meta...
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04/06/2019
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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04/05/2019
Point-to-Point Video Generation
While image manipulation achieves tremendous breakthroughs (e.g., genera...
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03/30/2019
COCO-GAN: Generation by Parts via Conditional Coordinating
Humans can only interact with part of the surrounding environment due to...
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01/28/2019
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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01/12/2019
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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12/20/2018
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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12/18/2018
SwipeCut: Interactive Segmentation with Diversified Seed Proposals
Interactive image segmentation algorithms rely on the user to provide an...
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11/25/2018
Non-local RoI for Cross-Object Perception
We present a generic and flexible module that encodes region proposals b...
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08/22/2018
Escaping from Collapsing Modes in a Constrained Space
Generative adversarial networks (GANs) often suffer from unpredictable m...
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07/14/2018
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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07/08/2017
Self Adversarial Training for Human Pose Estimation
This paper presents a deep learning based approach to the problem of hum...
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01/05/2017
