
-
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation
A majority of approaches solve the problem of video frame interpolation ...
read it
-
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing
Face anti-spoofing (FAS) seeks to discriminate genuine faces from fake o...
read it
-
Voting-based Approaches For Differentially Private Federated Learning
While federated learning (FL) enables distributed agents to collaborativ...
read it
-
Object Detection with a Unified Label Space from Multiple Datasets
Given multiple datasets with different label spaces, the goal of this wo...
read it
-
Domain Adaptive Semantic Segmentation Using Weak Labels
Learning semantic segmentation models requires a huge amount of pixel-wi...
read it
-
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints
Estimating relative camera poses from consecutive frames is a fundamenta...
read it
-
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction
We propose advances that address two key challenges in future trajectory...
read it
-
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
Large-scale photorealistic datasets of indoor scenes, with ground truth ...
read it
-
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Monocular visual odometry (VO) suffers severely from error accumulation ...
read it
-
Neural Mesh Flow: 3D Manifold Mesh Generationvia Diffeomorphic Flows
Meshes are important representations of physical 3D entities in the virt...
read it
-
Improving Face Recognition by Clustering Unlabeled Faces in the Wild
While deep face recognition has benefited significantly from large-scale...
read it
-
Understanding Road Layout from Videos as a Whole
In this paper, we address the problem of inferring the layout of complex...
read it
-
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
Recovering the 3D shape of transparent objects using a small number of u...
read it
-
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Classical monocular Simultaneous Localization And Mapping (SLAM) and the...
read it
-
Towards Universal Representation Learning for Deep Face Recognition
Recognizing wild faces is extremely hard as they appear with all kinds o...
read it
-
DAVID: Dual-Attentional Video Deblurring
Blind video deblurring restores sharp frames from a blurry sequence with...
read it
-
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Data privacy has emerged as an important issue as data-driven deep learn...
read it
-
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM
Self-calibration of camera intrinsics and radial distortion has a long h...
read it
-
Pose-variant 3D Facial Attribute Generation
We address the challenging problem of generating facial attributes using...
read it
-
Adaptation Across Extreme Variations using Unlabeled Domain Bridges
We tackle an unsupervised domain adaptation problem for which the domain...
read it
-
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image
We propose a deep inverse rendering framework for indoor scenes. From a ...
read it
-
Active Adversarial Domain Adaptation
We propose an active learning approach for transferring representations ...
read it
-
Domain Adaptation for Structured Output via Discriminative Representations
Predicting structured outputs such as semantic segmentation relies on ex...
read it
-
Domain Adaptation for Structured Output via Discriminative Patch Representations
Predicting structured outputs such as semantic segmentation relies on ex...
read it
-
A Parametric Top-View Representation of Complex Road Scenes
In this paper, we address the problem of inferring the layout of complex...
read it
-
IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments
While several datasets for autonomous navigation have become available i...
read it
-
Learning To Simulate
Simulation is a useful tool in situations where training data for machin...
read it
-
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image
We propose a material acquisition approach to recover the spatially-vary...
read it
-
Learning to Look around Objects for Top-View Representations of Outdoor Scenes
Given a single RGB image of a complex outdoor road scene in the perspect...
read it
-
Memory Warps for Learning Long-Term Online Video Representations
This paper proposes a novel memory-based online video representation tha...
read it
-
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data
Real-world face recognition datasets exhibit long-tail characteristics, ...
read it
-
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences
Interest point descriptors have fueled progress on almost every problem ...
read it
-
Joint Pixel and Feature-level Domain Adaptation in the Wild
Recent developments in deep domain adaptation have allowed knowledge tra...
read it
-
Learning to Adapt Structured Output Space for Semantic Segmentation
Convolutional neural network-based approaches for semantic segmentation ...
read it
-
Learning random-walk label propagation for weakly-supervised semantic segmentation
Large-scale training for semantic segmentation is challenging due to the...
read it
-
Deep Supervision with Intermediate Concepts
Recent data-driven approaches to scene interpretation predominantly pose...
read it
-
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos
Despite rapid advances in face recognition, there remains a clear gap be...
read it
-
Deep Network Flow for Multi-Object Tracking
Data association problems are an important component of many computer vi...
read it
-
Weakly supervised 3D Reconstruction with Adversarial Constraint
Supervised 3D reconstruction has witnessed a significant progress throug...
read it
-
Reconstruction-Based Disentanglement for Pose-invariant Face Recognition
Deep neural networks (DNNs) trained on large-scale datasets have recentl...
read it
-
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
Monocular 3D object parsing is highly desirable in various scenarios inc...
read it
-
A 4D Light-Field Dataset and CNN Architectures for Material Recognition
We introduce a new light-field dataset of materials, and take advantage ...
read it
-
Universal Correspondence Network
We present a deep learning framework for accurate visual correspondences...
read it
-
WarpNet: Weakly Supervised Matching for Single-view Reconstruction
We present an approach to matching images of objects in fine-grained dat...
read it
-
Person Re-identification in the Wild
We present a novel large-scale dataset and comprehensive baselines for e...
read it