Travelled to:
1 × China
1 × Japan
1 × Turkey
1 × USA
1 × United Kingdom
Collaborated with:
V.Murino A.Perina U.Castellani D.Tosato M.Farenzena L.Bazzani M.Bicego S.Martelli M.San-Biagio A.Ulas M.Crocco A.Pesarin C.Drioli A.Tavano
Talks about:
pedestrian (2) signatur (2) segment (2) multipl (2) classif (2) featur (2) detect (2) adapt (2) base (2) unsupervis (1)
Person: Marco Cristani
DBLP: Cristani:Marco
Contributed to:
Wrote 8 papers:
- ICPR-2012-MartelliCBTM #detection #paradigm #similarity
- Joining feature-based and similarity-based pattern description paradigms for object detection (SM, MC, LB, DT, VM), pp. 2702–2705.
- ICPR-2012-San-BiagioUCCCM #approach #classification #kernel #learning #multi
- A multiple kernel learning approach to multi-modal pedestrian classification (MSB, AU, MC, MC, UC, VM), pp. 2412–2415.
- ICPR-2010-BazzaniCPFM #identification #multi
- Multiple-Shot Person Re-identification by HPE Signature (LB, MC, AP, MF, VM), pp. 1413–1416.
- ICPR-2010-PerinaCM #named #recognition #segmentation
- 2LDA: Segmentation for Recognition (AP, MC, VM), pp. 995–998.
- ICPR-2010-TosatoFCM #detection
- A Re-evaluation of Pedestrian Detection on Riemannian Manifolds (DT, MF, MC, VM), pp. 3308–3311.
- ICPR-2008-PesarinCMDPT #automation #classification #statistics
- A statistical signature for automatic dialogue classification (AP, MC, VM, CD, AP, AT), pp. 1–4.
- ICPR-v4-2006-CristaniCM #3d #adaptation #estimation #integration #segmentation
- Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation (MC, UC, VM), pp. 21–24.
- ICPR-v2-2004-CristaniBM #adaptation #modelling #online
- On-Line Adaptive Background Modelling for Audio Surveillance (MC, MB, VM), pp. 399–402.