Manmohan Chandraker

research

∙ 05/18/2023

Tuned Contrastive Learning

In recent times, contrastive learning based loss functions have become i...

0 Chaitanya Animesh, et al. ∙

research

∙ 05/07/2023

Spatiotemporally Consistent HDR Indoor Lighting Estimation

We propose a physically-motivated deep learning framework to solve a gen...

0 Zhengqin Li, et al. ∙

research

∙ 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...

4 Alex Trevithick, et al. ∙

research

∙ 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...

0 Liwen Wu, et al. ∙

research

∙ 03/27/2023

GeoNet: Benchmarking Unsupervised Adaptation across Geographies

In recent years, several efforts have been aimed at improving the robust...

1 Tarun Kalluri, et al. ∙

research

∙ 03/09/2023

Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision

Many top-down architectures for instance segmentation achieve significan...

3 Tarun Kalluri, et al. ∙

research

∙ 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...

0 Dinesh Jayaraman, et al. ∙

research

∙ 10/23/2022

IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes

Autonomous driving and assistance systems rely on annotated data from tr...

0 Shubham Dokania, et al. ∙

research

∙ 08/16/2022

TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments

High-quality structured data with rich annotations are critical componen...

0 Shubham Dokania, et al. ∙

research

∙ 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...

7 Tarun Kalluri, et al. ∙

research

∙ 07/27/2022

ALBench: A Framework for Evaluating Active Learning in Object Detection

Active learning is an important technology for automated machine learnin...

1 Zhanpeng Feng, et al. ∙

research

∙ 07/25/2022

MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation

Practical real world datasets with plentiful categories introduce new ch...

7 Tarun Kalluri, et al. ∙

research

∙ 07/02/2022

PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes

Most indoor 3D scene reconstruction methods focus on recovering 3D geome...

0 Yu-Ying Yeh, et al. ∙

research

∙ 06/26/2022

Learning to Rearrange with Physics-Inspired Risk Awareness

Real-world applications require a robot operating in the physical world ...

0 Meng Song, et al. ∙

research

∙ 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...

0 Rui Zhu, et al. ∙

research

∙ 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 ...

0 Zhengqin Li, et al. ∙

research

∙ 04/14/2022

A Level Set Theory for Neural Implicit Evolution under Explicit Flows

Coordinate-based neural networks parameterizing implicit surfaces have e...

0 Ishit Mehta, et al. ∙

research

∙ 02/28/2022

Learning Semantic Segmentation from Multiple Datasets with Label Shifts

With increasing applications of semantic segmentation, numerous datasets...

0 Dongwan Kim, et al. ∙

research

∙ 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...

21 Phoenix X. Huang, et al. ∙

research

∙ 08/26/2021

Learning Cross-modal Contrastive Features for Video Domain Adaptation

Learning transferable and domain adaptive feature representations from v...

0 Donghyun Kim, et al. ∙

research

∙ 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...

0 Bingbing Zhuang, et al. ∙

research

∙ 04/16/2021

Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction

Trajectory prediction is a safety-critical tool for autonomous vehicles ...

0 Ramin Moslemi, et al. ∙

research

∙ 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...

0 Buyu Liu, et al. ∙

research

∙ 04/08/2021

Modulated Periodic Activations for Generalizable Local Functional Representations

Multi-Layer Perceptrons (MLPs) make powerful functional representations ...

6 Ishit Mehta, et al. ∙

research

∙ 04/03/2021

Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation

Domain adaptation deals with training models using large scale labeled d...

3 Astuti Sharma, et al. ∙

research

∙ 03/12/2021

Cross-Domain Similarity Learning for Face Recognition in Unseen Domains

Face recognition models trained under the assumption of identical traini...

0 Masoud Faraki, et al. ∙

research

∙ 12/15/2020

FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation

A majority of approaches solve the problem of video frame interpolation ...

7 Tarun Kalluri, et al. ∙

research

∙ 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...

0 Junru Wu, et al. ∙

research

∙ 10/09/2020

Voting-based Approaches For Differentially Private Federated Learning

While federated learning (FL) enables distributed agents to collaborativ...

0 Yuqing Zhu, et al. ∙

research

∙ 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...

16 Xiangyun Zhao, et al. ∙

research

∙ 07/30/2020

Domain Adaptive Semantic Segmentation Using Weak Labels

Learning semantic segmentation models requires a huge amount of pixel-wi...

6 Sujoy Paul, et al. ∙

research

∙ 07/29/2020

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

Estimating relative camera poses from consecutive frames is a fundamenta...

1 You-Yi Jau, et al. ∙

research

∙ 07/26/2020

SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction

We propose advances that address two key challenges in future trajectory...

16 Sriram N. N., et al. ∙

research

∙ 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 ...

12 Zhengqin Li, et al. ∙

research

∙ 07/21/2020

Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling

Monocular visual odometry (VO) suffers severely from error accumulation ...

12 Yuliang Zou, et al. ∙

research

∙ 07/21/2020

Neural Mesh Flow: 3D Manifold Mesh Generationvia Diffeomorphic Flows

Meshes are important representations of physical 3D entities in the virt...

21 Kunal Gupta, et al. ∙

research

∙ 07/14/2020

Improving Face Recognition by Clustering Unlabeled Faces in the Wild

While deep face recognition has benefited significantly from large-scale...

18 Aruni RoyChowdhury, et al. ∙

research

∙ 07/02/2020

Understanding Road Layout from Videos as a Whole

In this paper, we address the problem of inferring the layout of complex...

2 Buyu Liu, et al. ∙

research

∙ 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...

16 Zhengqin Li, et al. ∙

research

∙ 04/22/2020

Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction

Classical monocular Simultaneous Localization And Mapping (SLAM) and the...

7 Lokender Tiwari, et al. ∙

research

∙ 02/26/2020

Towards Universal Representation Learning for Deep Face Recognition

Recognizing wild faces is extremely hard as they appear with all kinds o...

8 Yichun Shi, et al. ∙

research

∙ 12/07/2019

DAVID: Dual-Attentional Video Deblurring

Blind video deblurring restores sharp frames from a blurry sequence with...

4 Junru Wu, et al. ∙

research

∙ 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...

0 Taihong Xiao, et al. ∙

research

∙ 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...

1 Bingbing Zhuang, et al. ∙

research

∙ 07/24/2019

Pose-variant 3D Facial Attribute Generation

We address the challenging problem of generating facial attributes using...

1 Feng-Ju Chang, et al. ∙

research

∙ 06/05/2019

Adaptation Across Extreme Variations using Unlabeled Domain Bridges

We tackle an unsupervised domain adaptation problem for which the domain...

4 Shuyang Dai, et al. ∙

research

∙ 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 ...

20 Zhengqin Li, et al. ∙

research

∙ 04/16/2019

Active Adversarial Domain Adaptation

We propose an active learning approach for transferring representations ...

16 Jong-Chyi Su, et al. ∙

research

∙ 01/16/2019

Domain Adaptation for Structured Output via Discriminative Representations

Predicting structured outputs such as semantic segmentation relies on ex...

10 Yi-Hsuan Tsai, et al. ∙

research

∙ 01/16/2019

Domain Adaptation for Structured Output via Discriminative Patch Representations

Predicting structured outputs such as semantic segmentation relies on ex...

6 Yi-Hsuan Tsai, et al. ∙

Manmohan Chandraker

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