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ADSC researchers attend successful ECCV

11/01/2012

ADSC researchers took the European Conference on Computer Vision (ECCV) by a storm last month in Firenze, Italy. ADSC had seven papers accepted and presented at the main conference, in addition to presenting papers during two workshops. ECCV is one of the top conferences for researchers in computer vision.

“ADSC’s strong presence at ECCV with 7 conference and 2 workshop papers is on par with the likes of UC Berkeley or Stanford, as well as the University of Illinois at Urbana-Champaign, firmly establishing ADSC as a center for world-leading computer vision research,” ADSC’s Interactive Digital Media Program Director Stefan Winkler said.

ADSC researcher Tianzhu Zhang's presented his paper, Low-Rank Sparse Learning for Robust Visual Tracking, at the October 2012 European Conference on Computer Vision (ECCV) in Firenze, Italy. Six other ADSC conference papers were accepted to ECCV, along with two workshop papers. ADSC researcher Tianzhu Zhang's presented his paper, “Low-Rank Sparse Learning for Robust Visual Tracking,” at the October 2012 European Conference on Computer Vision (ECCV) in Firenze, Italy. Six other ADSC conference papers were accepted to ECCV, along with two workshop papers.

Included in the paper submissions were:

  • Qiang Zhou and Gang Wang, "Learning to Recognize Unsuccessful Activities Using a Two-Layer Latent Structural Model.”
  • Bingbing Ni, Pierre Moulin, Shuicheng Yan, “Order-Preserving Sparse Coding for Sequence Classification.”
  • Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja, “Low-Rank Sparse Learning for Robust Visual Tracking.”
  • Kui Jia, Tsung-Han Chan, Yi Ma, "Robust and Practical Face Recognition via Structured Sparsity."
  • Tsung-Han Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi, Yi Ma, "Towards Optimal Design of Time and Color Multiplexing Codes."
  • Zinan Zeng, Tsung-Han Chan, Kui Jia, Dong Xu, "Finding Correspondence from Multiple Images via Sparse and Low-Rank Decomposition."
  • Zhengxiang Wang, Shenghua Gao, Liang-Tien Chia, "Learning Class-to-Image Distance via Large Margin and L1-Norm Regularization.”

Additionally, ADSC researcher Qiang Zhou presented two papers at two of the 21 workshops that were held before and after the conference.

  • Jiwen Lu and Gang Wang, "Human-Centric Indoor Environment Modeling from Depth Videos," 2nd Workshop on Consumer Depth Camera for Computer Vision, in conjunction with ECCV 2012.
  • Qiang Zhou and Gang Wang, "Atomic Action Features: A New Feature for Action Recognition," 4th Workshop on Video Event Categorization, Tagging and Retrieval, in conjunction with ECCV 2012.

TheAdvanced Digital Sciences Centeris aUniversity of Illinois at Urbana-Champaignresearch center in Singapore. It is led by Electrical and Computer Engineering and Computer Science faculty at the University of Illinois. ADSC focuses on innovations in information technology.