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- Kristanl, Matej, et al.
(author)
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The Seventh Visual Object Tracking VOT2019 Challenge Results
- 2019
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In: 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW). - : IEEE COMPUTER SOC. - 9781728150239 ; , s. 2206-2241
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Conference paper (peer-reviewed)abstract
- The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative. Results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis as well as the standard VOT methodology for long-term tracking analysis. The VOT2019 challenge was composed of five challenges focusing on different tracking domains: (i) VOT-ST2019 challenge focused on short-term tracking in RGB, (ii) VOT-RT2019 challenge focused on "real-time" short-term tracking in RGB, (iii) VOT-LT2019 focused on long-term tracking namely coping with target disappearance and reappearance. Two new challenges have been introduced: (iv) VOT-RGBT2019 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2019 challenge focused on long-term tracking in RGB and depth imagery. The VOT-ST2019, VOT-RT2019 and VOT-LT2019 datasets were refreshed while new datasets were introduced for VOT-RGBT2019 and VOT-RGBD2019. The VOT toolkit has been updated to support both standard short-term, long-term tracking and tracking with multi-channel imagery. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website(1).
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| 4. |
- Jin, Jun, et al.
(author)
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Co-Evolution of Knowledge-Intensive Entrepreneurial Firms and Science Parks in an Entrepreneurial Ecosystem: Capabilities supporting BioBay at Suzhou Industry Park, China
- 2019
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In: Zheijang University Seminar series.
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Conference paper (other academic/artistic)abstract
- Public-policy makers in emerging economics often want to stimulate knowledge- intensive industries, as a means to catch-up with innovation-based advanced economies. Literature on regional innovation systems and ecosystems have extensively studied agglomeration effects, and often with a focus upon the particular role of stimulating universities and scientific research. Yet funding science is not enough, due to what we identify as three complex issues related to the development of capabilities in firms and public agencies at the local-global interface. In catch-up theory, public policy which stimulates science-based industries can be seen as policy reacting to a short window of technological opportunity. In this paper, we are specifically focused upon public-private co-evolution in the biotech-pharmaceutical industry, which is highly dependent upon internal R&D and public science but also specific knowledge about national markets and global regulations. Based upon a seven-year qualitative study, we focus upon a science park in a second tier Chinese city, namely BioBay at Suzhou Industry Park. We propose a co-evolutionary process model of one element of the ecosystem, namely how increasing scale, learning and interactions between knowledge-intensive entrepreneurial firms and science parks lead to the development of both public and private capabilities to react upon this technological opportunity through entrepreneurship.
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| 5. |
- Kristan, Matej, et al.
(author)
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The Sixth Visual Object Tracking VOT2018 Challenge Results
- 2019
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In: Computer Vision – ECCV 2018 Workshops. - Cham : Springer Publishing Company. - 9783030110086 - 9783030110093 ; , s. 3-53
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Conference paper (peer-reviewed)abstract
- The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The evaluation included the standard VOT and other popular methodologies for short-term tracking analysis and a “real-time” experiment simulating a situation where a tracker processes images as if provided by a continuously running sensor. A long-term tracking subchallenge has been introduced to the set of standard VOT sub-challenges. The new subchallenge focuses on long-term tracking properties, namely coping with target disappearance and reappearance. A new dataset has been compiled and a performance evaluation methodology that focuses on long-term tracking capabilities has been adopted. The VOT toolkit has been updated to support both standard short-term and the new long-term tracking subchallenges. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net).
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| 7. |
- Qi, Jun, et al.
(author)
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IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare
- 2023
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In: CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. - : Association for Computing Machinery. ; , s. 5285-5288
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Conference paper (peer-reviewed)abstract
- Internet of Things (IoT) enabled technology has rapidly and efficiently facilitate healthcare diagnose and treatment with low-cost and lightweight devices. Big data generated from IoT offers valuable and crucial information to guide decision-making, improve patient outcomes, and decrease healthcare costs, etc. The workshop is aiming to provide an opportunity for researchers and practitioners from both academia and industry to present the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.
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