2022

  • Yu Yao, Xizi Wang, Mingze Xu, Zelin Pu, Yuchen Wang, Ella Atkins, David Crandall, "DoTA: Unsupervised Detection of Traffic Anomaly in Driving Videos," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. (impact factor = 17.861, accepted, to appear) [ bibtek]
  • Sam Goree, David Crandall, Norman Su, "``It Was Really All About Books:'' Speech-like Techno-Masculinity in the Rhetoric of Dot-Com Era Web Design Books," ACM Transactions on Computer-Human Interaction, 2022. (impact factor = 3.147, accepted, to appear) [ bibtek]
  • Chuhua Wang, Yuchen Wang, Mingze Xu, David Crandall, "Stepwise Goal-Driven Networks for Trajectory Prediction," IEEE Robotics and Automation Letters (RA-L), 2022. (impact factor = 3.741, accepted, to appear) [ bibtek]
  • Junbo Yin, Jianbing Shen, Xin Gao, David Crandall, Ruigang Yang, "Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds," IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. (impact factor = 17.861, accepted, to appear) [ bibtek]
  • Zhenhua Chen, Chuhua Wang, David Crandall, "Semantically Stealthy Adversarial Attacks against Segmentation Models," IEEE Winter Conference on Applications of Computer Vision (WACV), 2022. (35.0% acceptance rate) [ bibtek]
  • Zehua Zhang, David Crandall, "Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning," IEEE Winter Conference on Applications of Computer Vision (WACV), 2022. (35.0% acceptance rate) [ bibtek]

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The IU Computer Vision Lab's projects and activities have been funded, in part, by grants and contracts from the Air Force Office of Scientific Research (AFOSR), the Defense Threat Reduction Agency (DTRA), Dzyne Technologies, EgoVid, Inc., ETRI, Facebook, Google, Grant Thornton LLP, IARPA, the Indiana Innovation Institute (IN3), the IU Data to Insight Center, the IU Office of the Vice Provost for Research through an Emerging Areas of Research grant, the IU Social Sciences Research Commons, the Lilly Endowment, NASA, National Science Foundation (IIS-1253549, CNS-1834899, CNS-1408730, BCS-1842817, CNS-1744748, IIS-1257141, IIS-1852294), NVidia, ObjectVideo, Office of Naval Research (ONR), Pixm, Inc., and the U.S. Navy. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government, or any sponsor.