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08/19/2023
A Theory of Topological Derivatives for Inverse Rendering of Geometry
We introduce a theoretical framework for differentiable surface evolutio...
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05/18/2023
Tuned Contrastive Learning
In recent times, contrastive learning based loss functions have become i...
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05/07/2023
Spatiotemporally Consistent HDR Indoor Lighting Estimation
We propose a physically-motivated deep learning framework to solve a gen...
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05/03/2023
Real-Time Radiance Fields for Single-Image Portrait View Synthesis
We present a one-shot method to infer and render a photorealistic 3D rep...
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04/12/2023
Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation
Inverse path tracing has recently been applied to joint material and lig...
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03/27/2023
GeoNet: Benchmarking Unsupervised Adaptation across Geographies
In recent years, several efforts have been aimed at improving the robust...
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03/09/2023
Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
Many top-down architectures for instance segmentation achieve significan...
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10/28/2022
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport
We address key challenges in long-horizon embodied exploration and navig...
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10/23/2022
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
Autonomous driving and assistance systems rely on annotated data from tr...
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08/16/2022
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments
High-quality structured data with rich annotations are critical componen...
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08/04/2022
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels
Domain adaptation for semantic segmentation across datasets consisting o...
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07/27/2022
ALBench: A Framework for Evaluating Active Learning in Object Detection
Active learning is an important technology for automated machine learnin...
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07/25/2022
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation
Practical real world datasets with plentiful categories introduce new ch...
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07/02/2022
PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes
Most indoor 3D scene reconstruction methods focus on recovering 3D geome...
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06/26/2022
Learning to Rearrange with Physics-Inspired Risk Awareness
Real-world applications require a robot operating in the physical world ...
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06/16/2022
IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes
Indoor scenes exhibit significant appearance variations due to myriad in...
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05/19/2022
Physically-Based Editing of Indoor Scene Lighting from a Single Image
We present a method to edit complex indoor lighting from a single image ...
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04/14/2022
A Level Set Theory for Neural Implicit Evolution under Explicit Flows
Coordinate-based neural networks parameterizing implicit surfaces have e...
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02/28/2022
Learning Semantic Segmentation from Multiple Datasets with Label Shifts
With increasing applications of semantic segmentation, numerous datasets...
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11/19/2021
YMIR: A Rapid Data-centric Development Platform for Vision Applications
This paper introduces an open source platform for rapid development of c...
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08/26/2021
Learning Cross-modal Contrastive Features for Video Domain Adaptation
Learning transferable and domain adaptive feature representations from v...
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04/16/2021
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty
Learning methods for relative camera pose estimation have been developed...
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04/16/2021
Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction
Trajectory prediction is a safety-critical tool for autonomous vehicles ...
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04/14/2021
Weakly But Deeply Supervised Occlusion-Reasoned Parametric Layouts
We propose an end-to-end network that takes a single perspective RGB ima...
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04/08/2021
Modulated Periodic Activations for Generalizable Local Functional Representations
Multi-Layer Perceptrons (MLPs) make powerful functional representations ...
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04/03/2021
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
Domain adaptation deals with training models using large scale labeled d...
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03/12/2021
Cross-Domain Similarity Learning for Face Recognition in Unseen Domains
Face recognition models trained under the assumption of identical traini...
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12/15/2020
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation
A majority of approaches solve the problem of video frame interpolation ...
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11/28/2020
Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing
Face anti-spoofing (FAS) seeks to discriminate genuine faces from fake o...
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10/09/2020
Voting-based Approaches For Differentially Private Federated Learning
While federated learning (FL) enables distributed agents to collaborativ...
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08/15/2020
Object Detection with a Unified Label Space from Multiple Datasets
Given multiple datasets with different label spaces, the goal of this wo...
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07/30/2020
Domain Adaptive Semantic Segmentation Using Weak Labels
Learning semantic segmentation models requires a huge amount of pixel-wi...
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07/29/2020
Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints
Estimating relative camera poses from consecutive frames is a fundamenta...
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07/26/2020
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction
We propose advances that address two key challenges in future trajectory...
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07/25/2020
OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets
Large-scale photorealistic datasets of indoor scenes, with ground truth ...
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07/21/2020
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Monocular visual odometry (VO) suffers severely from error accumulation ...
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07/21/2020
Neural Mesh Flow: 3D Manifold Mesh Generationvia Diffeomorphic Flows
Meshes are important representations of physical 3D entities in the virt...
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07/14/2020
Improving Face Recognition by Clustering Unlabeled Faces in the Wild
While deep face recognition has benefited significantly from large-scale...
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07/02/2020
Understanding Road Layout from Videos as a Whole
In this paper, we address the problem of inferring the layout of complex...
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04/22/2020
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes
Recovering the 3D shape of transparent objects using a small number of u...
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04/22/2020
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
Classical monocular Simultaneous Localization And Mapping (SLAM) and the...
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02/26/2020
Towards Universal Representation Learning for Deep Face Recognition
Recognizing wild faces is extremely hard as they appear with all kinds o...
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12/07/2019
DAVID: Dual-Attentional Video Deblurring
Blind video deblurring restores sharp frames from a blurry sequence with...
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11/22/2019
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Data privacy has emerged as an important issue as data-driven deep learn...
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07/30/2019
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...
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07/24/2019
Pose-variant 3D Facial Attribute Generation
We address the challenging problem of generating facial attributes using...
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06/05/2019
Adaptation Across Extreme Variations using Unlabeled Domain Bridges
We tackle an unsupervised domain adaptation problem for which the domain...
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05/07/2019
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 ...
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04/16/2019
Active Adversarial Domain Adaptation
We propose an active learning approach for transferring representations ...
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01/16/2019
