We uploaded the slides and recordings for our CVPR 2022 tutorial on 'Deep Visual Similarity and Metric Learning' (dvsml2022-tutorial.github.io)! Thanks to @JennySeidensch1, @Ismail_Elezi, @lealtaixe and Björn Ommer for co-organizing. We were overwhelmed by the huge interest!
Joined March 2017
- If you are visiting #ICCV2021, do not forget to visit the poster session of our work with @andi_blatt!Excited to present our work ‘iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis’ at #ICCV @iccv in the sessions 11A+B (joint w/ @timoMil, @mdorkenw, Björn Ommer). Time (EDT)🗓️: Wednesday, Oct 13, 6pm-7pm Friday, Oct 15, 11am-12pm x.com/andi_blatt/sta…
- Our work on evaluating and analyzing generalization in Deep Metric Learning under varying, progressively harder out-of-distribution setting is accepted at #NeurIPS2021 bit.ly/3ona74R Joint work w/ @confusezius, @_sam_sinha_, @lschmidt3, @MarzyehGhassemi & Björn Ommer
- Stop evaluating zero-shot generalization on fixed train-test splits! Instead: "Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning". arxiv.org/abs/2107.09562 Joint work w/ @confusezius, @_sam_sinha_, @lschmidt3, @MarzyehGhassemi & Björn Ommer
- this burn, though ...🔥How it started: How it's going:



