Manmohan Chandraker

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University of California, San Diego

Department Head at NEC Laboratories America, Inc.

Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty

Learning methods for relative camera pose estimation have been developed...
04/16/2021 ∙ by Bingbing Zhuang, et al. ∙ 0 ∙ share

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

Trajectory prediction is a safety-critical tool for autonomous vehicles ...
04/16/2021 ∙ by Sriram Narayanan, et al. ∙ 0 ∙ share

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Weakly But Deeply Supervised Occlusion-Reasoned Parametric Layouts

We propose an end-to-end network that takes a single perspective RGB ima...
04/14/2021 ∙ by Buyu Liu, et al. ∙ 0 ∙ share

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Modulated Periodic Activations for Generalizable Local Functional Representations

Multi-Layer Perceptrons (MLPs) make powerful functional representations ...
04/08/2021 ∙ by Ishit Mehta, et al. ∙ 6 ∙ share

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Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation

Domain adaptation deals with training models using large scale labeled d...
04/03/2021 ∙ by Astuti Sharma, et al. ∙ 3 ∙ share

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Cross-Domain Similarity Learning for Face Recognition in Unseen Domains

Face recognition models trained under the assumption of identical traini...
03/12/2021 ∙ by Masoud Faraki, et al. ∙ 0 ∙ share

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FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation

A majority of approaches solve the problem of video frame interpolation ...
12/15/2020 ∙ by Tarun Kalluri, et al. ∙ 7 ∙ share

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Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing

Face anti-spoofing (FAS) seeks to discriminate genuine faces from fake o...
11/28/2020 ∙ by Junru Wu, et al. ∙ 0 ∙ share

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Voting-based Approaches For Differentially Private Federated Learning

While federated learning (FL) enables distributed agents to collaborativ...
10/09/2020 ∙ by Yuqing Zhu, et al. ∙ 0 ∙ share

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Object Detection with a Unified Label Space from Multiple Datasets

Given multiple datasets with different label spaces, the goal of this wo...
08/15/2020 ∙ by Xiangyun Zhao, et al. ∙ 16 ∙ share

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Domain Adaptive Semantic Segmentation Using Weak Labels

Learning semantic segmentation models requires a huge amount of pixel-wi...
07/30/2020 ∙ by Sujoy Paul, et al. ∙ 6 ∙ share

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Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

Estimating relative camera poses from consecutive frames is a fundamenta...
07/29/2020 ∙ by You-Yi Jau, et al. ∙ 1 ∙ share

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SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction

We propose advances that address two key challenges in future trajectory...
07/26/2020 ∙ by Sriram N. N., et al. ∙ 16 ∙ share

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OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets

Large-scale photorealistic datasets of indoor scenes, with ground truth ...
07/25/2020 ∙ by Zhengqin Li, et al. ∙ 12 ∙ share

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

Monocular visual odometry (VO) suffers severely from error accumulation ...
07/21/2020 ∙ by Yuliang Zou, et al. ∙ 12 ∙ share

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Neural Mesh Flow: 3D Manifold Mesh Generationvia Diffeomorphic Flows

Meshes are important representations of physical 3D entities in the virt...
07/21/2020 ∙ by Kunal Gupta, et al. ∙ 21 ∙ share

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Improving Face Recognition by Clustering Unlabeled Faces in the Wild

While deep face recognition has benefited significantly from large-scale...
07/14/2020 ∙ by Aruni RoyChowdhury, et al. ∙ 18 ∙ share

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Understanding Road Layout from Videos as a Whole

In this paper, we address the problem of inferring the layout of complex...
07/02/2020 ∙ by Buyu Liu, et al. ∙ 2 ∙ share

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Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes

Recovering the 3D shape of transparent objects using a small number of u...
04/22/2020 ∙ by Zhengqin Li, et al. ∙ 16 ∙ share

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

Classical monocular Simultaneous Localization And Mapping (SLAM) and the...
04/22/2020 ∙ by Lokender Tiwari, et al. ∙ 7 ∙ share

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Towards Universal Representation Learning for Deep Face Recognition

Recognizing wild faces is extremely hard as they appear with all kinds o...
02/26/2020 ∙ by Yichun Shi, et al. ∙ 8 ∙ share

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DAVID: Dual-Attentional Video Deblurring

Blind video deblurring restores sharp frames from a blurry sequence with...
12/07/2019 ∙ by Junru Wu, et al. ∙ 4 ∙ share

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Adversarial Learning of Privacy-Preserving and Task-Oriented Representations

Data privacy has emerged as an important issue as data-driven deep learn...
11/22/2019 ∙ by Taihong Xiao, et al. ∙ 0 ∙ share

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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...
07/30/2019 ∙ by Bingbing Zhuang, et al. ∙ 1 ∙ share

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Pose-variant 3D Facial Attribute Generation

We address the challenging problem of generating facial attributes using...
07/24/2019 ∙ by Feng-Ju Chang, et al. ∙ 1 ∙ share

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Adaptation Across Extreme Variations using Unlabeled Domain Bridges

We tackle an unsupervised domain adaptation problem for which the domain...
06/05/2019 ∙ by Shuyang Dai, et al. ∙ 4 ∙ share

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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 ...
05/07/2019 ∙ by Zhengqin Li, et al. ∙ 20 ∙ share

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Active Adversarial Domain Adaptation

We propose an active learning approach for transferring representations ...
04/16/2019 ∙ by Jong-Chyi Su, et al. ∙ 16 ∙ share

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Domain Adaptation for Structured Output via Discriminative Representations

Predicting structured outputs such as semantic segmentation relies on ex...
01/16/2019 ∙ by Yi-Hsuan Tsai, et al. ∙ 10 ∙ share

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Domain Adaptation for Structured Output via Discriminative Patch Representations

Predicting structured outputs such as semantic segmentation relies on ex...
01/16/2019 ∙ by Yi-Hsuan Tsai, et al. ∙ 6 ∙ share

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A Parametric Top-View Representation of Complex Road Scenes

In this paper, we address the problem of inferring the layout of complex...
12/14/2018 ∙ by Ziyan Wang, et al. ∙ 0 ∙ share

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IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments

While several datasets for autonomous navigation have become available i...
11/26/2018 ∙ by Girish Varma, et al. ∙ 10 ∙ share

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Learning To Simulate

Simulation is a useful tool in situations where training data for machin...
10/05/2018 ∙ by Nataniel Ruiz, et al. ∙ 14 ∙ share

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Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

We propose a material acquisition approach to recover the spatially-vary...
04/16/2018 ∙ by Zhengqin Li, et al. ∙ 0 ∙ share

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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...
03/28/2018 ∙ by Samuel Schulter, et al. ∙ 0 ∙ share

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Memory Warps for Learning Long-Term Online Video Representations

This paper proposes a novel memory-based online video representation tha...
03/28/2018 ∙ by Tuan-Hung Vu, et al. ∙ 0 ∙ share

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Feature Transfer Learning for Deep Face Recognition with Long-Tail Data

Real-world face recognition datasets exhibit long-tail characteristics, ...
03/23/2018 ∙ by Xi Yin, et al. ∙ 0 ∙ share

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Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences

Interest point descriptors have fueled progress on almost every problem ...
03/20/2018 ∙ by Mohammed E. Fathy, et al. ∙ 0 ∙ share

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Joint Pixel and Feature-level Domain Adaptation in the Wild

Recent developments in deep domain adaptation have allowed knowledge tra...
02/28/2018 ∙ by Luan Tran, et al. ∙ 0 ∙ share

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Learning to Adapt Structured Output Space for Semantic Segmentation

Convolutional neural network-based approaches for semantic segmentation ...
02/28/2018 ∙ by Yi-Hsuan Tsai, et al. ∙ 0 ∙ share

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Learning random-walk label propagation for weakly-supervised semantic segmentation

Large-scale training for semantic segmentation is challenging due to the...
02/01/2018 ∙ by Paul Vernaza, et al. ∙ 0 ∙ share

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Deep Supervision with Intermediate Concepts

Recent data-driven approaches to scene interpretation predominantly pose...
01/08/2018 ∙ by Chi Li, et al. ∙ 0 ∙ share

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Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos

Despite rapid advances in face recognition, there remains a clear gap be...
08/07/2017 ∙ by Kihyuk Sohn, et al. ∙ 0 ∙ share

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Deep Network Flow for Multi-Object Tracking

Data association problems are an important component of many computer vi...
06/26/2017 ∙ by Samuel Schulter, et al. ∙ 0 ∙ share

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Weakly supervised 3D Reconstruction with Adversarial Constraint

Supervised 3D reconstruction has witnessed a significant progress throug...
05/31/2017 ∙ by JunYoung Gwak, et al. ∙ 0 ∙ share

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Reconstruction-Based Disentanglement for Pose-invariant Face Recognition

Deep neural networks (DNNs) trained on large-scale datasets have recentl...
02/10/2017 ∙ by Xi Peng, et al. ∙ 0 ∙ share

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Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing

Monocular 3D object parsing is highly desirable in various scenarios inc...
12/08/2016 ∙ by Chi Li, et al. ∙ 0 ∙ share

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A 4D Light-Field Dataset and CNN Architectures for Material Recognition

We introduce a new light-field dataset of materials, and take advantage ...
08/24/2016 ∙ by Ting-Chun Wang, et al. ∙ 0 ∙ share

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Universal Correspondence Network

We present a deep learning framework for accurate visual correspondences...
06/11/2016 ∙ by Christopher B. Choy, et al. ∙ 0 ∙ share

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WarpNet: Weakly Supervised Matching for Single-view Reconstruction

We present an approach to matching images of objects in fine-grained dat...
04/19/2016 ∙ by Angjoo Kanazawa, et al. ∙ 0 ∙ share

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Manmohan Chandraker

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