2026 Christopher Zach: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10494	10198	77	76	153	9884

Overview

Christopher Zach is affiliated with Chalmers University of Technology in Sweden. Their research spans extensive work within computer science and engineering, with a focus on specialized subfields such as computer vision and pattern recognition, artificial intelligence, aerospace engineering, radiology, nuclear medicine and imaging, and computational mechanics.

The scientist's recent publications highlight involvement in topics related to anomaly detection, adversarial robustness, generative adversarial networks and image synthesis, digital media forensic detection, robotics and sensor-based localization, machine learning and algorithms, and advanced vision and imaging.

Recent papers by Christopher Zach include:

BabelCalib: A Universal Approach to Calibrating Central Cameras, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Cycle-object consistency for image-to-image domain adaptation, 2023, Pattern Recognition
Extremely Low-Light Image Enhancement with Scene Text Restoration, 2022, 2022 26th International Conference on Pattern Recognition (ICPR)
Industrial X-ray Image Analysis with Deep Neural Networks Robust to Unexpected Input Data, 2022, Metals
Robust Fitting with Truncated Least Squares: A Bilevel Optimization Approach, 2021, 2021 International Conference on 3D Vision (3DV)

Frequently collaborating researchers include Che-Tsung Lin, Huu Le, Chee Seng Chan, Chun Chet Ng, and Jie Long Kew. These co-authors have contributed to multiple publications in partnership with Christopher Zach over time.

The scientist's work has appeared in venues such as arXiv (Cornell University), UNC Libraries, the 2022 26th International Conference on Pattern Recognition (ICPR), Pattern Recognition journal, and Lecture Notes in Computer Science.

Major research themes center on the following topics:

Anomaly Detection Techniques and Applications
Adversarial Robustness in Machine Learning
Generative Adversarial Networks and Image Synthesis
Digital Media Forensic Detection
Robotics and Sensor-Based Localization
Machine Learning and Algorithms
Advanced Vision and Imaging

The integration of advanced imaging, machine learning methods, and robust data analysis forms a consistent core of Christopher Zach's academic contributions. This body of work addresses challenges in both theoretical algorithm development and practical application across multiple technical disciplines.

Best Publications

A duality based approach for realtime TV-L 1 optical flow

C. Zach;T. Pock;H. Bischof

2117
Citations
Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

Jamie Shotton;Ben Glocker;Christopher Zach;Shahram Izadi

981
Citations
From structure-from-motion point clouds to fast location recognition

Arnold Irschara;Christopher Zach;Jan-Michael Frahm;Horst Bischof

662
Citations
An Improved Algorithm for TV-L1 Optical Flow

Andreas Wedel;Thomas Pock;Christopher Zach;Horst Bischof

612
Citations
Real-time non-rigid reconstruction using an RGB-D camera

Michael Zollhöfer;Matthias Nießner;Shahram Izadi;Christoph Rehmann

493
Citations
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs

Xiaowei Li;Changchang Wu;Christopher Zach;Svetlana Lazebnik

402
Citations
A Globally Optimal Algorithm for Robust TV-L 1 Range Image Integration

C. Zach;T. Pock;H. Bischof

335
Citations
Disambiguating visual relations using loop constraints

Christopher Zach;Manfred Klopschitz;Marc Pollefeys

293
Citations
Joint 3D Scene Reconstruction and Class Segmentation

Christian Hane;Christopher Zach;Andrea Cohen;Roland Angst

274
Citations
Fast Global Labeling for Real-Time Stereo Using Multiple Plane Sweeps.

Christopher Zach;David Gallup;Jan Michael Frahm;Marc Niethammer

209
Citations
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time.

Rudra P. K. Poudel;Ujwal Bonde;Stephan Liwicki;Christopher Zach

185
Citations
Fast and High Quality Fusion of Depth Maps

Christopher Zach

160
Citations
MonoFusion: Real-time 3D reconstruction of small scenes with a single web camera

Vivek Pradeep;Christoph Rhemann;Shahram Izadi;Christopher Zach

157
Citations
A duality based algorithm for TV-L¹-optical-flow image registration

Thomas Pock;Martin Urschler;Christopher Zach;Reinhard Beichel

152
Citations
Robust Bundle Adjustment Revisited

Christopher Zach

140
Citations
Gated Softmax Classification

Roland Memisevic;Christopher Zach;Marc Pollefeys;Geoffrey E. Hinton

119
Citations
Automatic atlas-based three-label cartilage segmentation from MR knee images

Liang Shan;Christopher Zach;Cecil Charles;Marc Niethammer

109
Citations
Fast gain-adaptive KLT tracking on the GPU

C. Zach;D. Gallup;J.-M. Frahm

107
Citations
Discovering and exploiting 3D symmetries in structure from motion

Andrea Cohen;Christopher Zach;Sudipta N. Sinha;Marc Pollefeys

92
Citations
An optimal control approach for deformable registration

Gabriel L Hart;Christopher Zach;Marc Niethammer

91
Citations
SPP-Net: Deep Absolute Pose Regression with Synthetic Views.

Pulak Purkait;Cheng Zhao;Christopher Zach

24
Citations

Frequent Co-Authors

Marc Pollefeys ETH Zurich

Horst Bischof Graz University of Technology

Marc Niethammer University of North Carolina at Chapel Hill

Jan-Michael Frahm University of North Carolina at Chapel Hill

Shahram Izadi Google (United States)

Andrew Fitzgibbon Graphcore

Christoph Rhemann Google (United States)

Ian Reid University of Adelaide

Jamie Shotton Microsoft (United States)

Thomas Pock Graz University of Technology

External Links

Personal website of Christopher Zach Google Scholar page

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