Horst Possegger

Research output

Research output per year 2011 2023 2024

• 44 Conference paper
• 3 Article
• 1 Chapter
• 1 Other contribution
• 4 More
  • 1 Bachelor's Thesis
  • 1 Diploma Thesis
  • 1 Doctoral Thesis
  • 1 Preprint

Research output per year

Research output per year

Search results

• 2024

  Action-By-Detection: Efficient Forklift Action Detection for Autonomous Mobile Robots in Warehouses

  Prutsch, A., Possegger, H. & Bischof, H., 8 Aug 2024, 2024 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronics Engineers, p. 10757-10763 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Image Based Classification 100%

• ATS: Adaptive Temperature Scaling for Enhancing Out-of-Distribution Detection Methods

  Krumpl, G., Avenhaus, H., Possegger, H. & Bischof, H., 2024, EEE/CVF Winter Conference on Applications of Computer Vision (WACV).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds

  Krispel, G., Schinagl, D., Fruhwirth-Reisinger, C., Possegger, H. & Bischof, H., 3 Jan 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. p. 3371-3380 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • State of the Art 100%
  • Self-Supervised Representation Learning 12%
• 2023

  [Dataset] Crossroad Camera Dataset - Mobility Aid Users (1.0)

  Mohr, L., Kirillova, N., Possegger, H. & Bischof, H., 2023, Technische Universität Graz.

  Research output: Other contribution

  Open Access

  • Traffic Monitoring 100%
  • Pedestrian 100%
  • Object Detection 50%
  • Annotation 50%
  • Crosswalk 50%

• A Comprehensive Crossroad Camera Dataset of Mobility Aid Users

  Mohr, L., Kirillova, N., Possegger, H. & Bischof, H., 2023, The 34th British Machine Vision Conference. The British Machine Vision Association, 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Object Detection 100%
  • Crosswalk 100%
  • Disadvantaged Group 100%
  • State of the Art 100%
  • Transportation Infrastructure 100%

• ActMAD: Activation Matching to Align Distributions for Test-Time-Training

  Mirza, M. J., Soneira, P. J., Lin, W., Kozinski, M., Possegger, H. & Bischof, H., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. p. 24152-24161 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Image Classification 100%
  • Training Data 100%
  • Art Performance 100%
  • Data Distribution 100%
  • Object Detector 100%

• A Pedestrian Detection Case Study for a Traffic Light Controller

  Wendt, A., Possegger, H., Bittner, M., Schnöll, D., Wess, M., Malić, D., Bischof, H. & Jantsch, A., 2023, Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Software Optimazations and Hardware/Software Codesign. Pasricha, S. & Shafique, M. (eds.). Cham: Springer, p. 75-96

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Case Study 100%
  • Traffic Light Controller 100%
  • Computer Hardware 50%
  • Network Architecture 50%
  • Graphics Processing Unit 50%

• GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data

  Schinagl, D., Krispel, G., Fruhwirth-Reisinger, C., Possegger, H. & Bischof, H., 2023, Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV). p. 6566-6576 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • State of the Art 100%
  • Architectural Design 100%
  • Black Box 100%
  • Confidence Estimation 100%
  • Detectors 100%

• Identifying and Extracting Pedestrian Behavior in Critical Traffic Situations

  Schachner, M., Schneider, B., Weißenbacher, F., Kirillova, N., Possegger, H., Bischof, H. & Klug, C., 2023, 26th IEEE International Conference on Intelligent Transportation Systems. IEEE Xplore

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Metrics 100%
  • Temporal Relationship 100%
  • Road 33%
  • Late Stage 33%
  • System Safety 33%

• LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections

  Mirza, M. J., Karlinsky, L., Lin, W., Kozinski, M., Possegger, H., Feris, R. & Bischof, H., 2023, Conference on Neural Information Processing Systems (NeurIPS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge

  Lin, W., Karlinsky, L., Shvetsova, N., Possegger, H., Kozinski, M., Panda, R., Feris, R., Kuehne, H. & Bischof, H., 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• MATE: Masked Autoencoders are Online 3D Test-Time Learner

  Mirza, M. J., Shin, I., Lin, W., Schriebl, A., Sun, K., Choe, J., Kozinski, M., Possegger, H., Kweon, I. S., Yoon, K-J. & Bischof, H., 2023, IEEE/CVF International Conference on Computer Vision (ICCV).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• Observation-based pedestrian scenario extraction for virtual testing

  Schachner, M., Kirillova, N., Weißenbacher, F., Schneider, B., Possegger, H., Bischof, H., Ferenc Magosi, Z., Eichberger, A., Dobberstein, J., Lich, T., Kirchengast, M., Hennecke, M. & Klug, C., 2023, The 27th ESV Conference Proceedings. National Highwy Traffic Safety Administration, 23 p. 23-0167. (ESV Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper

  Open Access

  • Assistant System 100%
  • Road 100%
  • State of the Art 100%
  • Object Detection 50%
  • Influencing Factor 50%

• SAILOR: Scaling Anchors via Insights into Latent Object Representation

  Malić, D., Fruhwirth-Reisinger, C., Possegger, H. & Bischof, H., 2023, Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023. p. 623-632 10 p. (Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Object Representation 100%
  • Experimental Result 50%
  • 3D Object Detection 50%
  • Unsupervised Manner 50%
  • Training Dataset 50%

• Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

  Leitner, S., Mirza, M. J., Lin, W., Micorek, J. T., Masana, M., Kozinski, M., Possegger, H. & Bischof, H., 2023, IV 2023 - IEEE Intelligent Vehicles Symposium, Proceedings.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Test Time 100%
  • Learning Approach 100%
  • Weather Condition 100%
  • Autonomous Driving 100%
  • Object Detection 14%

• TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering

  Lin, W., Kukleva, A., Possegger, H., Kuehne, H. & Bischof, H., 2023, Proceedings of the 26th Computer Vision Winter Workshop (CVWW 2023). Sablatnig, R. & Kleber, F. (eds.). (CEUR Workshop Proceedings; vol. 3349).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• Test-Time Adversarial Detection and Robustness for Localizing Humans Using Ultra Wide Band Channel Impulse Responses

  Kolli, A., Mirza, M. J., Possegger, H. & Bischof, H., 2023, 31st European Signal Processing Conference, EUSIPCO 2023 - Proceedings. p. 1365-1369 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Ultra-Wideband 100%
  • Channel Impulse Response 100%
  • Adversarial Machine Learning 100%
  • Adversarial Example 100%
  • Neural Network 100%

• Towards Large-Scale Video-Based Highway Traffic Monitoring

  Spöcklberger, J. F., Micorek, J. T., Possegger, H. & Bischof, H., 2023, IEEE International Conference on Intelligent Transportation Systems (ITSC).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Video Test-Time Adaptation for Action Recognition

  Lin, W., Mirza, M. J., Kozinski, M., Possegger, H., Kuehne, H. & Bischof, H., 2023, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). p. 22952-22961

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Swin Transformer 100%
  • Video Action Recognition 100%
  • Statistical Distribution 100%
  • Common Distribution 100%
• 2022

  3D Human Pose Estimation Using Möbius Graph Convolutional Networks

  Azizi, N., Possegger, H., Rodola, E. & Bischof, H., 2022, European Conference on Computer Vision.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions

  Mirza, M. J., Masana, M., Possegger, H. & Bischof, H., 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). p. 3000-3010

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Learning Approach 100%
  • Memory Bank 100%
  • Visual Perception 100%
  • Applicability 50%
  • Model Parameter 50%

• An Intelligent Scanning Vehicle for Waste Collection Monitoring

  Waltner, G., Jaschik, M., Rinnhofer, A., Possegger, H. & Bischof, H., May 2022, Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings: 21st International Conference, Lecce, Italy, May 23–27, 2022, Proceedings, Part I. Sclaroff, S., Distante, C., Leo, M., Farinella, G. M. & Tombari, F. (eds.). Cham, p. 38-50 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13231 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Waste Management 100%
  • Waste Collection 100%
  • Recycling Rate 100%
  • Intelligent Software 100%
  • Company Management 100%

• A Visual Surveillance System to Observe Realistic Road User Behavior for Improved Pedestrian and Cyclist Safety at Crossroads

  Kirillova, N., Possegger, H. & Bischof, H., 29 Nov 2022, AVSS 2022 - 18th IEEE International Conference on Advanced Video and Signal-Based Surveillance.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Road User 100%
  • Cyclists 100%
  • User-Behaviour 100%
  • Road 100%
  • Surveillance System 100%

• CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video

  Lin, W., Kukleva, A., Sun, K., Possegger, H., Kuehne, H. & Bischof, H., 2022, Computer Vision – ECCV 2022 : 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part III. Cham: Springer, p. 698-715 17 p. (Lecture Notes in Computer Science; vol. 13663).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Action Recognition 100%
  • Video Training 100%

• OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data

  Schinagl, D., Krispel, G., Possegger, H., Roth, P. M. & Bischof, H., 2022, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. p. 1131-1140 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Point Cloud 100%
  • 3D Object Detection 100%
  • Object Detector 100%
  • Density Point 100%
  • Black Box 100%

• The Norm Must Go On - Dynamic Unsupervised Domain Adaptation by Normalization.

  Mirza, M. J., Micorek, J., Possegger, H. & Bischof, H., 2022, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 17 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Unlabeled Data 100%
  • Unsupervised Domain Adaptation 100%
  • Domain Adaptation 66%
  • Batch Normalization 66%
  • Object Detection 33%
• 2021

  DRT: Detection Refinement for Multiple Object Tracking

  Wang, B., Fruhwirth-Reisinger, C., Possegger, H., Bischof, H. & Cao, G., 23 Nov 2021, British Machine Vision Conference (BMVC) 2021. The British Machine Vision Association, 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Deep Learning Method 100%
  • Computational Cost 100%
  • Motion Model 100%
  • Backbone Network 33%
  • People Tracking 33%

• FAST3D: Flow-Aware Self-Training for 3D Object Detectors

  Fruhwirth-Reisinger, C., Opitz, M., Possegger, H. & Bischof, H., 23 Nov 2021, British Machine Vision Conference (BMVC) 2021. The British Machine Vision Association, 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

• Semi-Supervised Learning of Monocular 3D Hand Pose Estimation from Multi-View Images

  Müller, M., Poier, G., Possegger, H. & Bischof, H., 2021, IEEE International Conference on Image Processing (ICIP). p. 1104-1108

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Pose Estimation 100%
  • Semisupervised Learning 100%
  • Annotation 66%
  • Unlabeled Data 33%
  • Convolutional Neural Network 33%
• 2020

  Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly

  Opitz, M., Waltner, G., Possegger, H. & Bischof, H., 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 2, p. 276 - 290 8395046.

  Research output: Contribution to journal › Article › peer-review

  • Gradient Boosting 100%
  • Similarity Function 100%
  • Image Retrieval 100%

• FuseSeg: LiDAR Point Cloud Segmentation Fusing Multi-Modal Data

  Krispel, G., Opitz, M., Waltner, G., Possegger, H. & Bischof, H., Mar 2020, Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. p. 1863-1872 10 p. 9093584

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Point Cloud Segmentation 100%
  • Real Time 100%
  • Calibration Setup 33%

• Towards Data-driven Multi-target Tracking for Autonomous Driving

  Fruhwirth-Reisinger, C., Krispel, G., Possegger, H. & Bischof, H., 2020, Proceedings of the 25th Computer Vision Winter Workshop (CVWW). Ljubljana: Slovenian Pattern Recognition Society, p. 27-36

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Tracking (Position) 100%
  • Association Network 50%
• 2019

  HiBsteR: Hierarchical Boosted Deep Metric Learning for Image Retrieval

  Waltner, G., Opitz, M., Possegger, H. & Bischof, H., 2019, IEEE Winter Conference on Applications of Computer Vision (WACV) .

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Semi-supervised Detector Training with Prototypes for Vehicle Detection

  Waltner, G., Opitz, M., Krispel, G., Possegger, H. & Bischof, H., Nov 2019, 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019. Institute of Electrical and Electronics Engineers, p. 4261-4266 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Vehicle Detection 100%
  • Private Vehicle 100%
• 2018

  An Intent-Based Automated Traffic Light for Pedestrians

  Ertler, C., Possegger, H., Opitz, M. & Bischof, H., 2018, IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS). 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Crosswalk 100%

• Contextual Cues for Causal Visual Tracking

  Possegger, H., Apr 2018, 187 p.

  Research output: Thesis › Doctoral Thesis

  • Information Gain 100%

• Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems

  Waltner, G., Maurer, M., Holzmann, T., Ruprecht, P., Opitz, M., Possegger, H., Fraundorfer, F. & Bischof, H., 7 Dec 2018, 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers, Vol. 2018-November. p. 3212-3217 6 p. 8569670

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Auxiliaries 100%
  • Portable Computer 100%
  • Neural Network 50%

• Deep 2.5 D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems

  Waltner, G., Maurer, M., Holzmann, T., Ruprecht, P., Opitz, M., Possegger, H., Fraundorfer, F. & Bischof, H., 2018, 6 p. (arXiv.org e-Print archive).

  Research output: Working paper › Preprint

• Spatiotemporal Saliency Estimation by Spectral Foreground Detection

  Aytekin, Ç., Possegger, H., Mauthner, T., Kiranyaz, S., Bischof, H. & Gabbouj, M., 2018, In: IEEE Transactions on Multimedia. 20, 1, p. 82-95

  Research output: Contribution to journal › Article › peer-review

  • Foreground Detection 100%
  • Superpixel 50%
  • Saliency Detection 50%
• 2017

  BIER - Boosting Independent Embeddings Robustly

  Opitz, M., Waltner, G., Possegger, H. & Bischof, H., 2017, International Conference on Computer Vision (ICCV).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• Pedestrian Detection in RGB-D Images from an Elevated Viewpoint

  Ertler, C. G., Possegger, H., Opitz, M. & Bischof, H., 2017, Proceedings of the 22nd Computer Vision Winter Workshop. Kropatsch, W. G., Janusch, I. & Artner, N. M. (eds.). Wien: TU Wien, Pattern Recongition and Image Processing Group

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2016

  Efficient Model Averaging for Deep Neural Networks

  Opitz, M., Possegger, H. & Bischof, H., 2016, Asian Conference on Computer Vision (ACCV).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  File

• Grid Loss: Detecting Occluded Faces

  Opitz, M., Waltner, G., Poier, G., Possegger, H. & Bischof, H., 2016, European Conference on Computer Vision (ECCV).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  File
• 2015

  Encoding based Saliency Detection for Videos and Images

  Mauthner, T., Possegger, H., Waltner, G. & Bischof, H., 2015, (Accepted/In press) Conference on Computer Vision and Pattern Recognition. .

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• In Defense of Color-based Model-free Tracking

  Possegger, H., Mauthner, T. & Bischof, H., 2015, (Accepted/In press) Conference on Computer Vision and Pattern Recognition. .

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• The Visual Object Tracking VOT2015 challenge results

  Matej, K., Matas, J., Leonardis, A., Felsberg, M., Čehovin, L., Fernández, G., Vojíř, T., Häger, G., Nebehay, G., Pflugfelder, R., Gupta, A., Bibi, A., Lukežič, A., Garcia-Martin, A., Petrosino, A., Saffari, A., Montero, A. S., Varfolomieiev, A., Baskurt, A., Zhao, B., & 107 othersGhanem, B., Martinez, B., Lee, B. J., Han, B., Wang, C., Garcia, C., Zhang, C., Schmid, C., Tao, D., Kim, D., Huang, D., Prokhorov, D., Du, D., Yeung, D-Y., Ribeiro, E., Khan, F. S., Porikli, F., Bunyak, F., Zhu, G., Seetharaman, G., Kieritz, H., Yau, H. T., Li, H., Qi, H., Bischof, H., Possegger, H., Lee, H., Nam, H., Bogun, I., Jeong, J., Cho, J., Lee, J-Y., Zhu, J., Shi, J., Li, J., Jia, J., Feng, J., Gao, J., Choi, J. Y., Kim, J-W., Lang, J., Martinez, J. M., Choi, J., Xing, J., Xue, K., Palaniappan, K., Lebeda, K., Alahari, K., Gao, K., Yun, K., Wong, K. H., Luo, L., Ma, L., Ke, L., Wen, L., Bertinetto, L., Pootschi, M., Maresca, M., Danelljan, M., Wen, M., Zhang, M., Arens, M., Valstar, M., Tang, M., Chang, M-C., Khan, M. H., Fan, N., Wang, N., Miksik, O., Torr, P., Wang, Q., Martin-Nieto, R., Pelapur, R., Bowden, R., Laganière, R., Moujtahid, S., Hare, S., Hadfield, S., Lyu, S., Li, S., Zhu, S-C., Becker, S., Duffner, S., Hicks, S., Golodetz, S., Choi, S., Wu, T., Mauthner, T., Pridmore, T., Hu, W., Hübner, W., Wang, X., Li, X., Shi, X., Zhao, X., Mei, X., Shizeng, Y., Hua, Y., Li, Y., Lu, Y., Li, Y., Chen, Z., Huang, Z., Chen, Z., Zhang, Z., He, Z. & Hong, Z., 2015, (Accepted/In press) Workshop on the Visual Object Tracking Challenge (VOT, in conjunction with ICCV). .

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2014

  A novel method for the analysis of sequential actions in team handball

  Rudelsdorfer, P., Schrapf, N., Possegger, H., Mauthner, T., Bischof, H. & Tilp, M., 2014, In: International Journal of Computer Science in Sport . 13, 1, p. 6-6 1 p.

  Research output: Contribution to journal › Article › peer-review

• Occlusion Geodesics for Online Multi-object Tracking

  Possegger, H., Mauthner, T., Roth, P. & Bischof, H., 2014, Conference on Computer Vision and Pattern Recognition. ., p. 1306-1313

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

• The Visual Object Tracking VOT2014 challenge results

  Kristan, M., Pflugfelder, R., Leonardis, A., Matas, J., Čehovin, L., Nebehay, G., Vojíř, T., Fernández, G., Lukežič, A., Dimitriev, A., Petrosino, A., Saffari, A., Li, B., Han, B., Heng, C., Garcia, C., Pangeršič, D., Häger, G., Khan, F. S., Oven, F., & 37 othersPossegger, H., Bischof, H., Nam, H., Zhu, J., Li, J., Choi, J. Y., Choi, J-W., Henriques, J. F., van de Weijer, J., Batista, J., Lebeda, K., Öfjäll, K., Yi, K. M., Quin, L., Wen, L., Maresca, M. E., Danelljan, M., Felsberg, M., Cheng, M-M., Torr, P., Huang, Q., Bowden, R., Hare, S., Lim, S. Y., Hong, S., Liao, S., Hadfield, S., Li, S. Z., Duffner, S., Golodetz, S., Mauthner, T., Vineet, V., Lin, W., Li, Y., Qui, Y., Lei, Z. & Niu, Z., 2014, (Accepted/In press) Workshop on the Visual Object Tracking Challenge (VOT, in conjunction with ECCV). .

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
• 2013

  Exploiting 3D Information for Robust Real-Time Tracking of Multiple Objects in Complex Scenarios

  Possegger, H., 2013

  Research output: Thesis › Diploma Thesis