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1. Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception

   You, Yurong; Luo, Katie Z; Chen Xiangyu; Chen, Junan; Chao, Wei-Lun; Sun, Wen; Hariharan, Bharath; Campbell, Mark; Weinberger, Kilian Q. (April 2022, International Conference on Learning Representations)

   Self-driving cars must detect vehicles, pedestrians, and other traffic participants accurately to operate safely. Small, far-away, or highly occluded objects are particularly challenging because there is limited information in the LiDAR point clouds for detecting them. To address this challenge, we leverage valuable information from the past: in particular, data collected in past traversals of the same scene. We posit that these past data, which are typically discarded, provide rich contextual information for disambiguating the above-mentioned challenging cases. To this end, we propose a novel end-to-end trainable Hindsight framework to extract this contextual information from past traversals and store it in an easy-to-query data structure, which can then be leveraged to aid future 3D object detection of the same scene. We show that this framework is compatible with most modern 3D detection architectures and can substantially improve their average precision on multiple autonomous driving datasets, most notably by more than 300% on the challenging cases. Our code is available at https://github.com/YurongYou/Hindsight. 

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2. Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception

   You, Yurong; Luo, Katie; Chen, Xiangyu; Chen, Junan; Chao, Wei-Lun; Sun, Wen; Hariharan, Bharath; Campbell, Mark; Weinberger, Kilian Q (April 2022, International Conference on Learning Representations)
3. HINDSIGHT IS 20/20: LEVERAGING PAST TRAVERSALS TO AID 3D PERCEPTION

   You, Yurong; Luo, Katie Z; Chen, Xiangyu; Chen, Junan; Chao, Wei-Lun; Sun, Wen; Hariharan, Bharath (April 2022, ICLR 2022)
4. Introduction: 20 Years of ISEE

   https://doi.org/10.58021/S5V883  

   Seagroves, Scott; Barnes, Austin; Metevier, Anne; Porter, Jason; Hunter, Lisa (January 2022, Institute for Scientist & Engineer Educators (ISEE))

   Seagroves, Scott; Barnes, Austin; Metevier, Anne; Porter, Jason; Hunter, Lisa (Ed.)

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5. Anno genominis XX: 20 years of Arabidopsis genomics

   https://doi.org/10.1093/plcell/koaa038  

   Provart, Nicholas J; Brady, Siobhan M; Parry, Geraint; Schmitz, Robert J; Queitsch, Christine; Bonetta, Dario; Waese, Jamie; Schneeberger, Korbinian; Loraine, Ann E (December 2020, The Plant Cell)

   null (Ed.)

   Abstract Twenty years ago, the Arabidopsis thaliana genome sequence was published. This was an important moment as it was the first sequenced plant genome and explicitly brought plant science into the genomics era. At the time, this was not only an outstanding technological achievement, but it was characterized by a superb global collaboration. The Arabidopsis genome was the seed for plant genomic research. Here, we review the development of numerous resources based on the genome that have enabled discoveries across plant species, which has enhanced our understanding of how plants function and interact with their environments. 

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