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necv 2022 new england computer vision workshop mit boston ma friday 9th december 2022 the new england computer vision workshop necv brings together researchers in computer vision and related areas for an informal exchange of ideas through a full day of presentations and posters necv typically attracts around 100 people from universities and industry research labs in new england as in previous years the workshop will focus on graduate student presentations welcome phillip isola and pulkit agrawal registration participation is free for all researchers at academic institutions academic researchers should register here for our industry friends a limited number of registrations are available for a fee please contact samson timoner samson ai mit edu for details submission please submit a one page pdf abstract using the cvpr 2023 rebuttal template by email to necv2022mit gmail com abstracts are due by 11 59pm on mon nov 21st 2022 oral decisions will be released by nov 28th you may present work that has already been published or work that is in progress all submissions will be granted a poster presentation and selected submissions from each institution will be granted 12 minute oral presentations post docs and faculty may submit for poster presentations but oral presentations are reserved for graduate students there will be no publications resulting from the workshop so presentations will not be considered prior peer reviewed work according to any definition we are aware of thus work presented at necv can be subsequently submitted to other venues without citation the workshop is after the cvpr supplemental deadline so come and show off your new work in a friendly environment logistics tentative schedule 9 30 10 00 coffee snacks poster setup 10 00 10 15 welcome 10 15 11 30 oral presentations 1 semantic attention flow fields for dynamic scene decomposition yiqing liang eliot laidlaw alexander meyerowitz srinath sridhar james tompkin brown discretization invariant learning on neural fields clinton wang polina golland mit image as set of points xu ma yuqian zhou huan wang can qin bin sun chang liu yun fu northeastern designing perceptual puzzles by differentiating probabilistic programs kartik chandra tzu mao li josh tenenbaum jonathan ragan kelley mit stegapos preventing unwanted crops and replacements with imperceptible positional embeddings gokhan egri todd zickler harvard 11 30 11 45 sponsor talks 11 45 13 00 lunch on your own 13 00 14 30 poster presentations adaptive trajectory prediction via transferable gnn yi xu lichen wang yizhou wang yun fu northeastern medical image representation learning via mutual information maximization sidong zhang madalina fiterau umass amherst rethinking 3dmm conditioned face synthesis yiwen huang zhiqiu yu xinjie yi james tompkin brown gpu hc gpu based homotopy continuation solver for minimal problems in computer vision chiang heng chien hongyi fan ahmad abdelfattah elias tsigaridas stanimire tomov benjamin kimia brown learning object centric dynamic modes from video and emerging properties armand comas christian fernandez sandesh ghimire haolin li mario sznaier octavia camps northeastern comparing correspondences video prediction with correspondence wise losses daniel geng max hamilton andrew owens umass amherst eval explainable video anomaly localization ashish singh michael j jones erik learned miller umass amherst multiview curve correspondence for curve grouping and reconstruction yilin zheng chiang heng chien benjamin kimia brown exploring visual prompts for adapting large scale models hyojin bahng ali jahanian swami sankaranarayanan phillip isola mit on the capability of humans and reinforcement learning agents to generalize across noisy worlds serena bono spandan madan ishaan grover hanspeter pfister gabriel kreiman harvard is that pruning experiment really fair on the role of trainability in network pruning huan wang can qin yue bai and yun fu northeastern mitral regurgitation detection using cardiac imaging data ke xiao james priest erik learned miller madalina fiterau umass amherst using spatio temporal information in weather radar data to detect and track communal bird roosts gustavo perez wenlong zhao zezhou cheng maria carolina t d belotti yuting deng victoria f simons elske tielens jeffrey f kelly kyle g horton subhransu maji daniel sheldon umass amherst condor self supervised canonicalization of 3d pose for partial shapes rahul sajnani adrien poulenard jivitesh jain radhika dua leonidas j guibas srinath sridhar brown towards high quality and efficient video super resolution via spatial temporal data overfitting jie ji gen li xiaolong ma northeastern joint rotational invariance and adversarial training of a dual stream transformer yields state of the art brain score for area v4 william berrios arturo deza mit divide and compose with score based generative models sandesh ghimire armand comas davin hill aria masoomi octavia camps jennifer dy northeastern universeg universal medical image segmentation victor ion butoi jose j ortiz tianyu ma john guttag mert r sabuncu adrian v dalca mit image to sphere learning equivariant features for efficient pose prediction david klee ondrej biza robert platt and robin walters northeastern accidental turntables learning 3d pose by watching objects turn zezhou cheng matheus gadelha subhransu maji umass amherst using 3d models in virtual reality to address small data challenges in human animal pose estimation max leblang le jiang xiaofei huang sarah ostadabbas northeastern planarrecon real time 3d plane detection and reconstruction from posed monocular videos yiming xie matheus gadelha fengting yang xiaowei zhou huaizu jiang northeastern persistent nature a generative model of unbounded 3d worlds lucy chai richard tucker zhengqi li phillip isola noah snavely mit torf 3d reconstruction and novel view synthesis for fast motion using time of flight cameras mikhail okunev benjamin attal marc mapeke christian richardt matthew o toole james tompkin brown skeleton based 3d shape generation and editing dmitrii petrov vikas thamizharasan matheus gadelha vova kim siddhartha chaudhuri evangelos kalogerakis umass amherst cross view action recognition via contrastive view invariant representations yuexi zhang dan luo balaji sundareshan octavia camps mario sznaier northeastern particle part discovery and contrastive learning for fine grained recognition oindrila saha subhransu maji umass amherst generalized relative neighborhood graph grng for similarity search cole foster berk sevilmis benjamin kimia brown spatio visual fusion based person re identification for overhead fisheye images mertcan cokbas prakash ishwar janusz konrad bu natural language descriptions of deep visual features evan hernandez sarah schwettmann david bau teona bagashvili antonio torralba jacob andreas mit unsupervised feature correlation network for localizing breast cancer using prior mammograms jun bai annie jin madison admas shanglin zhou caiwen ding clifford yang and sheida nabavi uconn leveraging temporal context in low representational power regimes camilo fosco souyoung jin emilie josephs aude oliva mit q how to specialize large vision language models to data scarce vqa tasks a self train on unlabeled images zaid khan vijay kumar bg samuel schulter xiang yu yun fu manmohan chandraker northeastern parameter efficient masking networks yue bai huan wang xu ma yitian zhang zhiqiang tao yun fu northeastern analysis of saliency frameworks on fine grained image classification rangel daroya aaron sun and subhransu maji umass amherst look more but care less in video recognition yitian zhang yue bai huan wang yi xu yun fu northeastern 14 30 15 45 oral presentations 2 shapecrafter a recursive text conditioned 3d shape generation model rao fu xiao zhan yiwen chen daniel ritchie srinath sridhar brown exploring consistency in cross domain transformer for domain adaptive semantic segmentation kaihong wang donghyun kim rogerio feris kate saenko margrit betke bu learning regular rearrangements of objects in rooms qiuhong anna wei sijie ding jeong joon park rahul sajnani adrien poulenard srinath sridhar leonidas guibas brown analysis of explainability frameworks on fine grained image classification rangel daroya aaron sun subhransu maji umass amherst momentum is all you need for adaptive optimization yizhou wang yue kang can qin huan wang yi xu yulun zhang yun fu northeastern 15 45 16 00 coffee 16 00 17 15 oral presentations 3 robust frame to frame camera rotation estimation in crowded scenes fabien delattre david dirnfeld phat nguyen stephen scarano pedro miraldo michael j jones erik learned miller umass amherst mod squad designing mixture of experts as modular multi task learners zitian chen yikang shen mingyu ding zhenfang chen hengshuang zhao erik learned miller chuang gan umass amherst compound tokens channel fusion for vision language representation learning maxwell aladago aj piergiovanni dartmouth diagnosing error in human object interaction detectors fangrui zhu weidi xie yiming xie huaizu jiang northeastern towards using adversarially robust features as alternative features for rendering of full field foveated metamers raphaela kang arturo deza mit getting here the workshop will be held at the mit ibm watson ai lab 314 main street cambridge ma 02142 you will need a photo id to get in the building a driver s license or any other photo id is fine getting there the building is right above the kendall t stop there are also several expensive parking garages nearby one of the closest is 33 amherst st cambridge ma 02142 which costs 45 per day street parking is not easy to get in the kendall area sponsorship we are grateful to the mit ibm watson ai lab for providing the venue and logistical support we thank boston dynamics shipin ai google for providing funding acknowledgements thank you to samson timoner and luke inglis for helping us arrange necv 2022 thank you also to the steering committee james tompkin benjamin kimia todd zickler yun raymond fu octavia camps kate saenko erik learned miller and subhransu maji past years 2019 brown university website 2018 harvard university website 2017 northeastern university website 2016 boston university website 2015 umass amherst website