TP.L5: Representation and Modeling I |
| Session Type: Lecture |
| Time: Tuesday, September 24, 14:10 - 15:58 |
| Location: Room 201F (2F) |
| Session Chair: Phil Chou, Google |
| TP.L5.1: AN INFORMATION-THEORETIC APPROACH TO TRANSFERABILITY IN TASK TRANSFER LEARNING |
| Yajie Bao; Tsinghua-Berkeley Shenzhen Institute |
| Yang Li; Tsinghua-Berkeley Shenzhen Institute |
| Shao-Lun Huang; Tsinghua-Berkeley Shenzhen Institute |
| Lin Zhang; Tsinghua-Berkeley Shenzhen Institute |
| Lizhong Zheng; Massachusetts Institute of Technology |
| Amir Zamir; Stanford University |
| Leonidas Guibas; Stanford University |
| TP.L5.2: PHOTO STYLE TRANSFER WITH CONSISTENCY LOSSES |
| Xu Yao; Télécom ParisTech |
| Gilles Puy; Technicolor |
| Patrick Pérez; Valeo |
| TP.L5.3: MULTI-RESOLUTION SPECTRAL GRAPH MATCHING |
| Víctor González Navarro; University of Southern California |
| Antonio Ortega; University of Southern California |
| TP.L5.4: GRAPH BASED NON-UNIFORM SAMPLING AND RECONSTRUCTION OF DEPTH MAPS |
| Jingyu Yang; Tianjin University |
| Wenqiang Xu; Tianjin University |
| Xinchen Ye; Dalian University of Technology |
| Pascal Frossard; École Polytechnique Fédérale de Lausanne (EPFL) |
| Kun Li; Tianjin University |
| TP.L5.5: DESIGNING RECURRENT NEURAL NETWORKS BY UNFOLDING AN L1-L1 MINIMIZATION ALGORITHM |
| Hung Duy Le; Vrije Universiteit Brussel-imec |
| Huynh Van Luong; Vrije Universiteit Brussel-imec |
| Nikos Deligiannis; Vrije Universiteit Brussel-imec |
| TP.L5.6: EXACT INCREMENTAL AND DECREMENTAL LEARNING FOR LS-SVM |
| Wei-Han Lee; IBM Research |
| Bong Jun Ko; IBM Research |
| Shiqiang Wang; IBM Research |
| Changchang Liu; IBM Research |
| Kin Leung; Imperial College London |