Travelled to:1 × Canada
1 × China
1 × Germany
1 × Turkey
3 × USA
Collaborated with:T.Caelli ∅ M.Gong S.V.N.Vishwanathan D.Schuurmans S.Wang V.Ochoa K.Jia N.Liu L.Wang J.Zhou W.F.Bischof F.Jiao T.H.Thi J.Zhang L.Wang S.Satoh S.Wang R.Greiner F.Qi X.Jing X.Zhu F.Wu
Talks about:learn (5) imag (5) model (4) markov (2) direct (2) base (2) use (2) riemannian (1) foreground (1) interpret (1)
Person: Li Cheng
DBLP: Cheng:Li
Contributed to:
2013
20102008
2007200720052002
2016Wrote 10 papers:
- ICML-c3-2013-Cheng #learning #similarity
- Riemannian Similarity Learning (LC), pp. 540–548.
- ICPR-2010-JiaCLW #image #learning #performance
- Efficient Learning to Label Images (KJ, LC, NL, LW), pp. 942–945.
- ICPR-2010-ThiCZWS #modelling #recognition #using
- Weakly Supervised Action Recognition Using Implicit Shape Models (THT, LC, JZ, LW, SS), pp. 3517–3520.
- ICPR-2008-GongC #graph #learning #online #optimisation #realtime #segmentation #using
- Real-time foreground segmentation on GPUs using local online learning and global graph cut optimization (MG, LC), pp. 1–4.
- HCI-MIE-2007-ZhouCCB #automation #image #information management
- Knowledge Transfer in Semi-automatic Image Interpretation (JZ, LC, TC, WFB), pp. 1028–1034.
- ICML-2007-ChengV #image #learning
- Learning to compress images and videos (LC, SVNV), pp. 161–168.
- ICML-2005-ChengJSW #image #modelling
- Variational Bayesian image modelling (LC, FJ, DS, SW), pp. 129–136.
- ICML-2005-WangWGSC #markov #modelling #random #semantics
- Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields (SW, SW, RG, DS, LC), pp. 948–955.
- ICPR-v1-2002-ChengCO #image #markov
- A Trainable Hierarchical Hidden Markov Tree Model for Color Image Annotation (LC, TC, VO), pp. 192–195.
- ASE-2016-QiJZWC #estimation #learning #obfuscation #privacy #subclass
- Privacy preserving via interval covering based subclass division and manifold learning based bi-directional obfuscation for effort estimation (FQ, XYJ, XZ, FW, LC), pp. 75–86.