Publications


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T. Xiao, Y.-H. Tsai, K. Sohn, M.K. Chandraker, M.-H. Yangr
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations [PDF]
ICCV 2019, New Orleans, LA.

T. Kalluri, G. Varma, M.K. Chandraker and C.V. Jawahar
Universal Semi-Supervised Semantic Segmentation [PDF]
ICCV 2019, New Orleans, LA.

Y.-H. Tsai, K. Sohn, S. Schulter and M.K. Chandraker [oral]
Domain Adaptation for Structured Output via Disentangled Patch Representations [PDF]
ICCV 2019, New Orleans, LA.

Z. Wang, B. Liu, S. Schulter and M.K. Chandraker
A Parametric Top-View Representation of Complex Road Scenes [PDF]
CVPR 2019, New Orleans, LA.

X. Yin, X. Yu, K. Sohn, X. Liu and M.K. Chandraker
Feature Transfer Learning for Face Recognition with Under-Represented Data [PDF]
CVPR 2019, New Orleans, LA.

B. Zhuang, Q.-H. Tran, P. Ji, L.F. Cheong and M.K. Chandraker
Learning Structure-And-Motion-Aware Rolling Shutter Correction [PDF]
CVPR 2019, New Orleans, LA.

L. Tran, K. Sohn, X. Yu, X. Liu, and M.K. Chandraker
Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild [PDF][Supplementary]
CVPR 2019, New Orleans, LA.

N. Ruiz, S. Schulter and M.K. Chandraker
Learning to Simulate [PDF]
ICLR 2019, New Orleans, LA.

K. Sohn, W. Shang, X. Yu and M.K. Chandraker
Unsupervised Domain Adaptation for Distance Metric Learning [PDF]
ICLR 2019, New Orleans, LA.

J. Stets, Z. Li, J. Frisvad and M.K. Chandraker
Single-Shot Analysis of Refractive Shapes Using Convolutional Neural Networks [PDF]
WACV 2019, Waikoloa, HI.

G. Varma, A. Subramanian, A. Namboodiri, M.K. Chandraker and C.V. Jawahar
AutoNUE: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments [PDF]
WACV 2019, Waikoloa, HI.

T.-H. Vu, S. Schulter, W. Choi and M.K. Chandraker
Memory Warps for Learning Long-Term Online Video Representations [PDF]
WACV 2019, Waikoloa, HI.

Z. Li, Z. Xu, R. Ramamoorthi, K. Sunkavalli and M.K. Chandraker
Learning to Reconstruct Shape and Spatially-Varying Reflectance with a Single Image [PDF]
Siggraph Asia 2018, Tokyo, Japan.

Z. Li, K. Sunkavalli and M.K. Chandraker [oral]
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image [PDF]
ECCV 2018, Munich, Germany.

S. Schulter, M. Zhai, N. Jacobs and M.K. Chandraker
Learning to Look around Objects for Top-View Representations of Outdoor Scenes [PDF]
ECCV 2018, Munich, Germany.

M. Fathy, Q.-H. Tran, Z. Zia, P. Vernaza and M.K. Chandraker
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences [PDF]
ECCV 2018, Munich, Germany.

Y.-H. Tsai, W.-C. Hung, S. Schulter, K. Sohn, M.-H. Yang and M.K. Chandraker [spotlight]
Learning to Adapt Structured Output Space for Semantic Segmentation [PDF]
CVPR 2018, Salt Lake City, UT.

Z. Li, Z. Murez, D. Kriegman, R. Ramamoorthi and M.K. Chandraker
Learning to See through Turbulent Water [PDF]
WACV 2018, Lake Tahoe, CA.

G. Chen, W. Choi, X. Yu, T. Han and M.K. Chandraker
Learning Efficient Object Detection Models with Knowledge Distillation [PDF]
NIPS 2017, Long Beach, CA.

K. Sohn, S. Liu, G. Zhong, X. Yu, M.-H. Yang and M.K. Chandraker
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos [PDF]
ICCV 2017, Venice, Italy.

X. Yin, X. Yu, K. Sohn, X. Liu and M.K. Chandraker
Towards Large-Pose Face Frontalization [PDF]
ICCV 2017, Venice, Italy.

X. Peng, X. Yu, K. Sohn, D. Metaxas and M.K. Chandraker
Feature Reconstruction-Based Disentanglement for Pose-Invariant Face Recognition [PDF]
ICCV 2017, Venice, Italy.

J. Gwak, C. Choy, A. Garg, M.K. Chandraker and S. Savarese
Weakly Supervised Generative Adversarial Networks for 3D Reconstruction [PDF]
3DV 2017, Qingdao, China.

Z. Li, Z. Xu, R. Ramamoorthi and M.K. Chandraker
Robust Energy Minimization for BRDF-Invariant Shape from Light Fields [PDF]
CVPR 2017, Las Vegas, NV.

C. Li, Z. Zia, Q.-H. Tran, X. Yu, G. Hager and M.K. Chandraker
Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing [PDF]
CVPR 2017, Las Vegas, NV.

N. Lee, W. Choi, P. Vernaza, C. Choy, P. Torr and M.K. Chandraker
DESIRE: Distant Future Prediction in Dynamic Scenes with Multiple Interacting Agents [PDF]
CVPR 2017, Las Vegas, NV.

S. Schulter, P. Vernaza, W. Choi and M.K. CHandraker
Deep Network Flow for Multi-Object Tracking [PDF]
CVPR 2017, Las Vegas, NV.

L. Zheng, H. Zhang, S. Sun, M.K. Chandraker, Y. Yang and Q. Tian
Person Re-Identification in the Wild [PDF]
CVPR 2017, Las Vegas, NV.

C. Choy, J. Gwak, S. Savarese and M.K. Chandraker [oral]
Universal Correspondence Network [PDF]
NIPS 2016, Barcelona, Spain.

X. Yu, F. Zhou and M.K. Chandraker
Deep Deformation Network for Object Landmark Localization [PDF]
ECCV 2016, Amsterdam, Netherlands.

T.-C. Wang, E. Hiroaki, J. Zhu, M.K. Chandraker, A. Efros and R. Ramamoorthi
A 4D Light-Field Dataset and CNN Architectures for Material Recognition [PDF]
ECCV 2016, Amsterdam, Netherlands.

A. Kanazawa, D. Jacobs and M.K. Chandraker
WarpNet: Weakly Supervised Matching for Single-View Reconstruction [PDF]
CVPR 2016, Las Vegas, NV.

T.-C. Wang, M.K. Chandraker, A. Efros and R. Ramamoorthi [oral]
SVBRDF-Invariant Shape and Reflectance Recovery from Light Fields [PDF]
CVPR 2016, Las Vegas, NV.

V. Dhiman, Q.-H. Tran, J. Corso and M.K. Chandraker
A Continuous Occlusion Model for Road Scene Understanding [PDF]
CVPR 2016, Las Vegas, NV.

C.-Y. Chen, W. Choi and M.K. Chandraker
Atomic Scenes for Scalable Traffic Scene Recognition [PDF]
WACV 2016, Lake Placid, NY.

M.K. Chandraker [Spl. Issue, Best of CVPR 2014]
The Information Available to a Moving Observer on Shape with Unknown, Isotropic BRDFs [PDF]
IEEE PAMI 2015.

S. Song, M.K. Chandraker and C. Guest
High Accuracy Monocular SFM and Scale Correction for Autonomous Driving [PDF]
IEEE PAMI 2015.

S. Song and M.K. Chandraker [oral]
Joint SFM and Detection Cues in 3D Object Localization for Autonomous Driving [PDF]
CVPR 2015, Boston, Massachusetts.

M.K. Chandraker
On Joint Shape and Material Recovery from Motion Cues [PDF]
ECCV 2014, Zurich, Switzerland.

M.K. Chandraker [oral] [Best Paper Award]
What Camera Motion Reveals About Shape with Unknown BRDF [PDF] [Tech Report]
CVPR 2014, Columbus, Ohio.

S. Song and M.K. Chandraker
Robust Scale Estimation in Real-Time Monocular SFM for Autonomous Driving [PDF]
CVPR 2014, Columbus, Ohio.

M.K. Chandraker, D. Reddy, Y. Wang and R. Ramamoorthi [oral]
What Motion Reveals About Shape with Unknown BRDF and Lighting [PDF]
CVPR 2013, Portland, Oregon.

Y. Bao, M.K. Chandraker, Y. Lin and S. Savarese [oral]
Dense Object Reconstruction with Semantic Priors [PDF]
CVPR 2013, Portland, Oregon.

S. Song and M.K. Chandraker
Parallel, Real-Time Monocular Visual Odometry [PDF]
ICRA 2013, Karlsruhe, Germany.

M.K. Chandraker, J. Bai and R. Ramamoorthi [Spl. Issue, Best of CVPR 2011]
On Differential Photometric Reconstruction for Unknown, Isotropic BRDFs [PDF]
IEEE PAMI 35(12):2941-2955, December 2013.

M.K. Chandraker and R. Ramamoorthi [oral]
What An Image Reveals About Material Reflectance [PDF]
ICCV 2011, Barcelona, Spain.

M.K. Chandraker, J. Bai and R. Ramamoorthi [oral]
A Theory of Photometric Reconstruction for Unknown Isotropic Reflectances [PDF]
CVPR 2011, Colorado Springs, pp. 2505-2512.

M.K. Chandraker, J. Bai, T.-T. Ng and R. Ramamoorthi
On the Duality of Forward and Inverse Light Transport [PDF]
IEEE PAMI 33(10):2122-2128, October 2011.

M.K. Chandraker, S. Agarwal, D.J. Kriegman and S. Belongie
Globally Optimal Algorithms for Stratified Autocalibration [PDF]
IJCV 90(2):236-254, November 2010.

J. Bai, M.K. Chandraker, T.-T. Ng and R. Ramamoorthi
A Dual Theory of Inverse and Forward Light Transport [PDF] [Tech Report] [Web]
ECCV 2010, Heraklion, Greece.

M.K. Chandraker, J. Lim and D.J. Kriegman
Moving in Stereo: Efficient Structure and Motion Using Lines [PDF]
ICCV 2009, Kyoto, Japan.

M.K. Chandraker and D.J. Kriegman [oral]
Globally Optimal Bilinear Programming for Computer Vision Applications [PDF] [Code]
CVPR 2008, Anchorage, Alaska.

F. Kahl, S. Agarwal, M.K. Chandraker, D.J. Kriegman and S. Belongie
Practical Global Optimization for Multiview Geometry [PDF] [Code]
IJCV 79(3):271-284, September 2008.

M.K. Chandraker, S. Agarwal, D.J. Kriegman and S. Belongie [oral] [Marr Prize Honorable Mention]
Globally Optimal Affine and Metric Upgrades in Stratified Autocalibration [PDF] [Web]
ICCV 2007, Rio de Janeiro, Brazil.

A. Agarwal, S. Izadi, M.K. Chandraker and A. Blake
High Precision Multi-touch Sensing on Surfaces using Overhead Cameras [PDF]
IEEE Tabletop 2007, Rhode Island.

M.K. Chandraker, S. Agarwal and D.J. Kriegman
ShadowCuts: Photometric Stereo with Shadows [PDF] [Data+Code]
CVPR 2007, Minneapolis, Minnesota.

M.K. Chandraker, S. Agarwal, F. Kahl, D. Nistér and D.J. Kriegman
Autocalibration via Rank-Constrained Estimation of the Absolute Quadric [PDF] [VRML]
CVPR 2007, Minneapolis, Minnesota.

S. Agarwal, M.K. Chandraker, F. Kahl, D.J. Kriegman and S. Belongie [oral]
Practical Global Optimization for Multiview Geometry [PDF] [Code]
ECCV 2006, Graz, Austria, pp. 592-605, vol. 1.

M.K. Chandraker, F. Kahl and D.J. Kriegman [oral]
Reflections on the Generalized Bas-Relief Ambiguity [PDF]
CVPR 2005, San Diego, CA, pp. 788-795, vol. 1.

M.K. Chandraker, C. Stock and A. Pinz
Real-Time Camera Pose in a Room
ICVS 2003, Graz Austria, pp. 98-110.

C. Stock, U. Mühlmann, M.K. Chandraker and A. Pinz
Subpixel Corner Detection for Tracking Applications using CMOS Camera Technology [PDF]
AAPR 2002, Graz, Austria.


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Last updated June 30, 2014.