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ORCIDChristopher Zach
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2020 – today
- 2024
[j14]Chun Chet Ng, Che-Tsung Lin, Zhi Qin Tan, Xinyu Wang, Jie-Long Kew, Chee Seng Chan
, Christopher Zach:
When IC meets text: Towards a rich annotated integrated circuit text dataset. Pattern Recognit. 147: 110124 (2024)- [c111]Rasmus Kjær Høier, Christopher Zach:
Two Tales of Single-Phase Contrastive Hebbian Learning. ICML 2024 - [i24]Rasmus Kjær Høier, Christopher Zach:
Two Tales of Single-Phase Contrastive Hebbian Learning. CoRR abs/2402.08573 (2024) - [i23]Che-Tsung Lin, Chun Chet Ng, Zhi Qin Tan, Wan Jun Nah, Xinyu Wang, Jie-Long Kew, Po-Hao Hsu, Shang-Hong Lai, Chee Seng Chan, Christopher Zach:
Text in the Dark: Extremely Low-Light Text Image Enhancement. CoRR abs/2404.14135 (2024) - 2023
- [j13]Che-Tsung Lin, Jie-Long Kew, Chee Seng Chan, Shang-Hong Lai, Christopher Zach:
Cycle-object consistency for image-to-image domain adaptation. Pattern Recognit. 138: 109416 (2023) - [c110]Xixi Liu, Yaroslava Lochman, Christopher Zach:
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection. CVPR 2023: 23946-23955 - [c109]Wan Jun Nah, Chun Chet Ng, Che-Tsung Lin, Yeong Khang Lee, Jie-Long Kew, Zhi Qin Tan, Chee Seng Chan, Christopher Zach, Shang-Hong Lai:
Rethinking Long-Tailed Visual Recognition with Dynamic Probability Smoothing and Frequency Weighted Focusing. ICIP 2023: 435-439 - [c108]Rasmus Kjær Høier, D. Staudt, Christopher Zach:
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons. ICML 2023: 13141-13156 - [c107]Xixi Liu, Jennifer Alvén, Ida Häggström, Christopher Zach:
Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays. MLMI@MICCAI (2) 2023: 293-302 - [c106]Christopher Zach:
Fully Variational Noise-Contrastive Estimation. SCIA (2) 2023: 175-190 - [c105]Christopher Zach, Huu Le:
Exploiting Redundancy for Large Scale Bundle Adjustment: In Partial Defense of Minimization by Alternation. SCIA (2) 2023: 500-516 - [c104]Yadong Mao, Zhuqi Xiao, Che-Tsung Lin, Pedro Porto Buarque de Gusmão, Nicholas D. Lane, Christopher Zach, Mina Alibeigi:
Decentralized Training of 3D Lane Detection with Automatic Labeling Using HD Maps. VTC2023-Spring 2023: 1-7 - [i22]Rasmus Kjær Høier, D. Staudt, Christopher Zach:
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons. CoRR abs/2302.01228 (2023) - [i21]Christopher Zach:
Fully Variational Noise-Contrastive Estimation. CoRR abs/2304.02473 (2023) - 2022
- [c103]Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach:
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks. CVPR 2022: 460-469 - [c102]Jing Chong Beh, Kam Woh Ng, Jie-Long Kew, Che-Tsung Lin, Chee Seng Chan, Shang-Hong Lai, Christopher Zach:
CyEDA: Cycle-Object Edge Consistency Domain Adaptation. ICIP 2022: 2986-2990 - [c101]Po-Hao Hsu, Che-Tsung Lin, Chun Chet Ng, Jie-Long Kew, Mei Yih Tan, Shang-Hong Lai, Chee Seng Chan, Christopher Zach:
Extremely Low-Light Image Enhancement with Scene Text Restoration. ICPR 2022: 317-323 - [c100]Xixi Liu, D. Staudt, Che-Tsung Lin, Christopher Zach:
Effortless Training of Joint Energy-Based Models with Sliced Score Matching. ICPR 2022: 2643-2649 - [c99]Xixi Liu, Che-Tsung Lin, Christopher Zach:
Energy-based Models for Deep Probabilistic Regression. ICPR 2022: 2693-2699 - [i20]Po-Hao Hsu, Che-Tsung Lin, Chun Chet Ng, Jie-Long Kew, Mei Yih Tan, Shang-Hong Lai, Chee Seng Chan, Christopher Zach:
Extremely Low-light Image Enhancement with Scene Text Restoration. CoRR abs/2204.00630 (2022) - 2021
- [c98]Huu Le, Christopher Zach:
Robust Fitting with Truncated Least Squares: A Bilevel Optimization Approach. 3DV 2021: 1392-1400 - [c97]Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts:
BabelCalib: A Universal Approach to Calibrating Central Cameras. ICCV 2021: 15233-15242 - [i19]Huu Le, Christopher Zach:
Escaping Poor Local Minima in Large Scale Robust Estimation. CoRR abs/2102.10928 (2021) - [i18]Christopher Zach:
Bilevel Programming and Deep Learning: A Unifying View on Inference Learning Methods. CoRR abs/2105.07231 (2021) - [i17]Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts:
BabelCalib: A Universal Approach to Calibrating Central Cameras. CoRR abs/2109.09704 (2021) - [i16]Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach:
AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks. CoRR abs/2112.02880 (2021) - 2020
- [c96]Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford:
Progressive Batching for Efficient Non-linear Least Squares. ACCV (3) 2020: 506-522 - [c95]Rasmus Kjær Høier, Christopher Zach:
Lifted Regression/Reconstruction Networks. BMVC 2020 - [c94]Huu Le, Christopher Zach:
A Graduated Filter Method for Large Scale Robust Estimation. CVPR 2020: 5558-5567 - [c93]Pulak Purkait, Christopher Zach, Ian Reid:
SG-VAE: Scene Grammar Variational Autoencoder to Generate New Indoor Scenes. ECCV (24) 2020: 155-171 - [c92]Christopher Zach, Huu Le:
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning. ECCV (26) 2020: 464-480 - [i15]Christopher Zach, Huu Le:
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning. CoRR abs/2003.05886 (2020) - [i14]Huu Le, Christopher Zach:
A Graduated Filter Method for Large Scale Robust Estimation. CoRR abs/2003.09080 (2020) - [i13]Rasmus Kjær Høier, Christopher Zach:
Lifted Regression/Reconstruction Networks. CoRR abs/2005.03452 (2020) - [i12]Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford:
Progressive Batching for Efficient Non-linear Least Squares. CoRR abs/2010.10968 (2020)
2010 – 2019
- 2019
- [c91]Christopher Zach, Virginia Estellers:
Contrastive Learning for Lifted Networks. BMVC 2019: 82 - [c90]Christopher Zach, Guillaume Bourmaud:
Pareto Meets Huber: Efficiently Avoiding Poor Minima in Robust Estimation. ICCV 2019: 10242-10250 - [c89]Pulak Purkait, Christopher Zach, Ian D. Reid:
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions. IROS 2019: 1998-2005 - [i11]Christopher Zach, Virginia Estellers:
Contrastive Learning for Lifted Networks. CoRR abs/1905.02507 (2019) - [i10]Pulak Purkait, Christopher Zach, Ian D. Reid:
Seeing Behind Things: Extending Semantic Segmentation to Occluded Regions. CoRR abs/1906.02885 (2019) - [i9]Eskil Jörgensen, Christopher Zach, Fredrik Kahl:
Monocular 3D Object Detection and Box Fitting Trained End-to-End Using Intersection-over-Union Loss. CoRR abs/1906.08070 (2019) - [i8]Pulak Purkait, Christopher Zach, Ian David Reid:
Learning to generate new indoor scenes. CoRR abs/1912.04554 (2019) - 2018
- [j12]Christopher Zach:
Generalized fusion moves for continuous label optimization. Comput. Vis. Image Underst. 173: 47-56 (2018) - [c88]Pulak Purkait, Ujwal Bonde, Christopher Zach:
Weakly Supervised Learning of Indoor Geometry by Dual Warping. 3DV 2018: 738-746 - [c87]Pulak Purkait, Cheng Zhao, Christopher Zach:
Synthetic View Generation for Absolute Pose Regression and Image Synthesis. BMVC 2018: 69 - [c86]Rudra P. K. Poudel, Ujwal Bonde, Stephan Liwicki, Christopher Zach:
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time. BMVC 2018: 146 - [c85]Christopher Zach, Guillaume Bourmaud:
Multiplicative vs. Additive Half-Quadratic Minimization for Robust Cost Optimization. BMVC 2018: 234 - [c84]Je Hyeong Hong, Christopher Zach:
pOSE: Pseudo Object Space Error for Initialization-Free Bundle Adjustment. CVPR 2018: 1876-1885 - [c83]Christopher Zach, Guillaume Bourmaud:
Descending, Lifting or Smoothing: Secrets of Robust Cost Optimization. ECCV (12) 2018: 558-574 - [c82]Pulak Purkait, Christopher Zach:
Minimal Solvers for Monocular Rolling Shutter Compensation Under Ackermann Motion. WACV 2018: 903-911 - [i7]Pulak Purkait, Christopher Zach, Anders P. Eriksson:
Maximum Consensus Parameter Estimation by Reweighted ℓ1 Methods. CoRR abs/1803.08602 (2018) - [i6]Rudra P. K. Poudel, Ujwal Bonde, Stephan Liwicki, Christopher Zach:
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time. CoRR abs/1805.04554 (2018) - [i5]Pulak Purkait, Ujwal Bonde, Christopher Zach:
Weakly supervised learning of indoor geometry by dual warping. CoRR abs/1808.03609 (2018) - 2017
- [j11]Christian Hane, Christopher Zach, Andrea Cohen, Marc Pollefeys:
Dense Semantic 3D Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1730-1743 (2017) - [c81]Stephan Liwicki, Christopher Zach:
Scale Exploiting Minimal Solvers for Relative Pose with Calibrated Cameras. BMVC 2017 - [c80]Christopher Zach, Guillaume Bourmaud:
Iterated Lifting for Robust Cost Optimization. BMVC 2017 - [c79]Je Hyeong Hong, Christopher Zach, Andrew W. Fitzgibbon:
Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems. CVPR 2017: 5939-5947 - [c78]Pulak Purkait, Christopher Zach, Anders P. Eriksson:
Maximum Consensus Parameter Estimation by Reweighted \ell _1 ℓ 1 Methods. EMMCVPR 2017: 312-327 - [c77]Christopher Zach:
Limited-Memory Belief Propagation via Nested Optimization. EMMCVPR 2017: 517-532 - [c76]Christopher Zach, Christian Häne:
Discretized Convex Relaxations for the Piecewise Smooth Mumford-Shah Model. EMMCVPR 2017: 548-563 - [c75]Pulak Purkait, Christopher Zach, Ales Leonardis:
Rolling Shutter Correction in Manhattan World. ICCV 2017: 882-890 - [i4]Pulak Purkait, Christopher Zach:
Minimal Solvers for Monocular Rolling Shutter Compensation under Ackermann Motion. CoRR abs/1712.03159 (2017) - [i3]Pulak Purkait, Cheng Zhao, Christopher Zach:
SPP-Net: Deep Absolute Pose Regression with Synthetic Views. CoRR abs/1712.03452 (2017) - 2016
- [c74]Christopher Zach:
Generalized Fusion Moves for Continuous Label Optimization. ACCV (5) 2016: 67-81 - [c73]Stephan Liwicki, Christopher Zach, Ondrej Miksik, Philip H. S. Torr:
Coarse-to-fine Planar Regularization for Dense Monocular Depth Estimation. ECCV (2) 2016: 458-474 - [c72]Je Hyeong Hong, Christopher Zach, Andrew W. Fitzgibbon, Roberto Cipolla:
Projective Bundle Adjustment from Arbitrary Initialization Using the Variable Projection Method. ECCV (1) 2016: 477-493 - 2015
- [c71]Christopher Zach, Adrián Peñate Sánchez, Minh-Tri Pham:
A dynamic programming approach for fast and robust object pose recognition from range images. CVPR 2015: 196-203 - [c70]Christopher Zach:
A Novel Tree Block-Coordinate Method for MAP Inference. GCPR 2015: 320-330 - [c69]Andrea Cohen, Christopher Zach:
The Likelihood-Ratio Test and Efficient Robust Estimation. ICCV 2015: 2282-2290 - 2014
- [j10]Tian Cao, Christopher Zach, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer:
Multi-modal registration for correlative microscopy using image analogies. Medical Image Anal. 18(6): 914-926 (2014) - [j9]Liang Shan, Christopher Zach, Cecil Charles, Marc Niethammer:
Automatic atlas-based three-label cartilage segmentation from MR knee images. Medical Image Anal. 18(7): 1233-1246 (2014) - [j8]Christopher Zach, Christian Hane, Marc Pollefeys:
What Is Optimized in Convex Relaxations for Multilabel Problems: Connecting Discrete and Continuously Inspired MAP Inference. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 157-170 (2014) - [j7]Michael Zollhöfer, Matthias Nießner, Shahram Izadi, Christoph Rhemann, Christopher Zach, Matthew Fisher, Chenglei Wu, Andrew W. Fitzgibbon, Charles T. Loop, Christian Theobalt, Marc Stamminger:
Real-time non-rigid reconstruction using an RGB-D camera. ACM Trans. Graph. 33(4): 156:1-156:12 (2014) - [c68]Bernhard Zeisl, Christopher Zach, Marc Pollefeys:
Variational Regularization and Fusion of Surface Normal Maps. 3DV 2014: 601-608 - [c67]David Kim, Shahram Izadi, Jakub Dostal, Christoph Rhemann, Cem Keskin, Christopher Zach, Jamie Shotton, Timothy A. Large, Steven Bathiche, Matthias Nießner, D. Alex Butler, Sean Ryan Fanello, Vivek Pradeep:
RetroDepth: 3D silhouette sensing for high-precision input on and above physical surfaces. CHI 2014: 1377-1386 - [c66]Christopher Zach:
A Principled Approach for Coarse-to-Fine MAP Inference. CVPR 2014: 1330-1337 - [c65]Christopher Zach:
Robust Bundle Adjustment Revisited. ECCV (5) 2014: 772-787 - [r1]Christopher Zach:
Dense Reconstruction. Computer Vision, A Reference Guide 2014: 179-181 - [i2]Tian Cao, Christopher Zach, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer:
Multi-modal Image Registration for Correlative Microscopy. CoRR abs/1411.3229 (2014) - 2013
- [j6]Marc Niethammer, Christopher Zach:
Segmentation with area constraints. Medical Image Anal. 17(1): 101-112 (2013) - [c64]Christopher Zach:
Dual Decomposition for Joint Discrete-Continuous Optimization. AISTATS 2013: 632-640 - [c63]Christian Hane, Christopher Zach, Andrea Cohen, Roland Angst, Marc Pollefeys:
Joint 3D Scene Reconstruction and Class Segmentation. CVPR 2013: 97-104 - [c62]Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, Andrew W. Fitzgibbon:
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images. CVPR 2013: 2930-2937 - [c61]Vivek Pradeep, Christoph Rhemann, Shahram Izadi, Christopher Zach, Michael Bleyer, Steven Bathiche:
MonoFusion: Real-time 3D reconstruction of small scenes with a single web camera. ISMAR 2013: 83-88 - [i1]Christopher Zach, Christian Häne:
Compact Relaxations for MAP Inference in Pairwise MRFs with Piecewise Linear Priors. CoRR abs/1308.3101 (2013) - 2012
- [j5]Arnold Irschara, Christopher Zach, Manfred Klopschitz, Horst Bischof:
Large-scale, dense city reconstruction from user-contributed photos. Comput. Vis. Image Underst. 116(1): 2-15 (2012) - [c60]Christian Hane, Christopher Zach, Bernhard Zeisl, Marc Pollefeys:
A Patch Prior for Dense 3D Reconstruction in Man-Made Environments. 3DIMPVT 2012: 563-570 - [c59]José Henrique Brito, Roland Angst, Kevin Köser, Christopher Zach, Pedro Branco, Manuel João Ferreira, Marc Pollefeys:
Unknown Radial Distortion Centers in Multiple View Geometry Problems. ACCV (4) 2012: 136-149 - [c58]José Henrique Brito, Christopher Zach, Kevin Köser, Manuel Ferreira, Marc Pollefeys:
One-sided Radial-Fundamental Matrix Estimation. BMVC 2012: 1-12 - [c57]Andrea Cohen, Christopher Zach, Sudipta N. Sinha, Marc Pollefeys:
Discovering and exploiting 3D symmetries in structure from motion. CVPR 2012: 1514-1521 - [c56]Christopher Zach, Christian Hane, Marc Pollefeys:
What is optimized in tight convex relaxations for multi-label problems? CVPR 2012: 1664-1671 - [c55]Christopher Zach, Pushmeet Kohli:
A Convex Discrete-Continuous Approach for Markov Random Fields. ECCV (6) 2012: 386-399 - [c54]Tian Cao, Christopher Zach, Shannon Modla, Debbie Powell, Kirk Czymmek, Marc Niethammer:
Registration for Correlative Microscopy Using Image Analogies. WBIR 2012: 296-306 - 2011
- [j4]Marc Pollefeys, Jan-Michael Frahm, Friedrich Fraundorfer, Christopher Zach, Changchang Wu, Brian Clipp, David Gallup:
Challenges in Wide-area Structure-from-motion. Inf. Media Technol. 6(1): 64-79 (2011) - [c53]Bernhard Zeisl, Christopher Zach, Marc Pollefeys:
Stereo Reconstruction of Building Interiors with a Vertical Structure Prior. 3DIMPVT 2011: 366-373 - [c52]Alexander G. Schwing, Christopher Zach, Yefeng Zheng, Marc Pollefeys:
Adaptive random forest - How many "experts" to ask before making a decision? CVPR 2011: 1377-1384 - [c51]Kevin Köser, Christopher Zach, Marc Pollefeys:
Dense 3D Reconstruction of Symmetric Scenes from a Single Image. DAGM-Symposium 2011: 266-275 - [c50]Roland Angst, Christopher Zach, Marc Pollefeys:
The generalized trace-norm and its application to structure-from-motion problems. ICCV 2011: 2502-2509 - [c49]Christian Hane, Christopher Zach, Jongwoo Lim, Ananth Ranganathan, Marc Pollefeys:
Stereo depth map fusion for robot navigation. IROS 2011: 1618-1625 - [c48]Claudia Kuster, Tiberiu Popa, Christopher Zach, Craig Gotsman, Markus H. Gross:
FreeCam: A Hybrid Camera System for Interactive Free-Viewpoint Video. VMV 2011: 17-24 - 2010
- [j3]Marc Pollefeys, Jan-Michael Frahm, Friedrich Fraundorfer, Christopher Zach, Changchang Wu, Brian Clipp, David Gallup:
Challenges in Wide-area Structure-from-motion. IPSJ Trans. Comput. Vis. Appl. 2: 105-120 (2010) - [c47]Christopher Zach, Manfred Klopschitz, Marc Pollefeys:
Disambiguating visual relations using loop constraints. CVPR 2010: 1426-1433 - [c46]Christopher Zach, Marc Pollefeys:
Practical Methods for Convex Multi-view Reconstruction. ECCV (4) 2010: 354-367 - [c45]Liang Shan, Christopher Zach, Marc Niethammer:
Automatic three-label bone segmentation from knee MR images. ISBI 2010: 1325-1328 - [c44]Marc Niethammer, Alexis Boucharin, Christopher Zach, Yundi Shi, Eric A. Maltbie, Mar Sanchez, Martin Styner:
DTI Connectivity by Segmentation. MIAR 2010: 200-210 - [c43]Liang Shan, Christopher Zach, Martin Styner, Cecil Charles, Marc Niethammer:
Automatic bone segmentation and alignment from MR knee images. Medical Imaging: Image Processing 2010: 76231K - [c42]Roland Memisevic, Christopher Zach, Geoffrey E. Hinton, Marc Pollefeys:
Gated Softmax Classification. NIPS 2010: 1603-1611
2000 – 2009
- 2009
- [j2]Marc Niethammer, Christopher Zach, John Melonakos, Allen R. Tannenbaum:
Near-tubular fiber bundle segmentation for diffusion weighted imaging: Segmentation through frame reorientation. NeuroImage 45(1): S123-S132 (2009) - [c41]Marc Niethammer, Gabriel L. Hart, Christopher Zach:
An optimal control approach for the registration of image time-series. CDC 2009: 2427-2434 - [c40]Gabriel L. Hart, Christopher Zach, Marc Niethammer:
An optimal control approach for deformable registration. CVPR Workshops 2009: 9-16 - [c39]Christopher Zach, Marc Niethammer, Jan-Michael Frahm:
Continuous maximal flows and Wulff shapes: Application to MRFs. CVPR 2009: 1911-1918 - [c38]Arnold Irschara, Christopher Zach, Jan-Michael Frahm, Horst Bischof:
From structure-from-motion point clouds to fast location recognition. CVPR 2009: 2599-2606 - [c37]Christopher Zach, Liang Shan, Marc Niethammer:
Globally Optimal Finsler Active Contours. DAGM-Symposium 2009: 552-561 - [c36]Brian Clipp, Christopher Zach, Jan-Michael Frahm, Marc Pollefeys:
A new minimal solution to the relative pose of a calibrated stereo camera with small field of view overlap. ICCV 2009: 1725-1732 - [c35]Marc Pollefeys, Jan-Michael Frahm, Friedrich Fraundorfer, Christopher Zach, Changchang Wu, Brian Clipp, David Gallup:
Towards Large-Scale Visual Mapping and Localization. ISRR 2009: 535-555 - [c34]Brian Clipp, Christopher Zach, Jongwoo Lim, Jan-Michael Frahm, Marc Pollefeys:
Adaptive, real-time visual simultaneous localization and mapping. WACV 2009: 1-8 - 2008
- [c33]Christopher Zach, David Gallup, Jan-Michael Frahm:
Fast gain-adaptive KLT tracking on the GPU. CVPR Workshops 2008: 1-7 - [c32]Christopher Zach, Arnold Irschara, Horst Bischof:
What can missing correspondences tell us about 3D structure and motion? CVPR 2008 - [c31]Michael Grabner, Christopher Zach, Horst Bischof:
Efficient Tracking as Linear Program on Weak Binary Classifiers. DAGM-Symposium 2008: 102-111 - [c30]Andreas Wedel, Thomas Pock, Christopher Zach, Horst Bischof, Daniel Cremers:
An Improved Algorithm for TV-L 1 Optical Flow. Statistical and Geometrical Approaches to Visual Motion Analysis 2008: 23-45 - [c29]Xiaowei Li, Changchang Wu, Christopher Zach, Svetlana Lazebnik, Jan-Michael Frahm:
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs. ECCV (1) 2008: 427-440 - [c28]Christopher Zach, David Gallup, Jan-Michael Frahm, Marc Niethammer:
Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps. VMV 2008: 243-252 - 2007
- [c27]Thomas Pock, Christopher Zach, Horst Bischof:
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses. CVPR 2007 - [c26]