Alex Schwing

The #CVPR2026 submission portal is now open!

Congrats to @hkchengrex for impressive work on generating audio from video and/or text.

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations - @KaiYan86524445, Yuxiong Wang Hall J #129, Wed Nov.30, 4:30pm - 6pm CST Paper: arxiv.org/abs/2210.09496 Project: 289371298.github.io/jekyll/update/…

DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data​ – Tiantian Fang, @RuoyuSun_UI Hall J #519, Wed Nov.30, 11:30am - 1pm CST Paper: openreview.net/pdf?id=azBVn74… Project: github.com/AilsaF/DigGAN

Congrats @ECEILLINOIS, @IllinoisCS students and collaborators for great #NeurIPS2022 work on PAC-Bayesian Bounds, Animal Reconstruction, Invariant and Equivariant Deep Nets, GAN training with limited data and reinforcement learning from demonstrations. Stop by to get to know more

Congrats to @hkchengrex (@IllinoisCS, @HkustSc) on a fun deep net study of the 1968 Atkinson-Shiffrin memory model for video object segmentation. People seem to like the code: github.com/hkchengrex/XMem. What's your favorite psychology/brain science hypothesis used in deep nets?

Congrats to (almost) former @ECEILLINOIS student @adamliu123 (ioujenliu.github.io) for successfully graduating with impressive work "Towards Efficient Multi-Agent Deep Reinforcement Learning". Enjoy the ceremonies and keep up the great work.

Tired of training agents by exploring environments randomly? Talk to @adamliu123, @ericxyuan, @Cote_Marc, @pyoudeyer about agents asking for knowledge @icmlconf #ICML2022 Spotlight: 7/21 3:55pmEDT,#307 Poster: 7/21 6pmEDT,Hall E905 arxiv.org/abs/2205.06111 ioujenliu.github.io/AFK/

Want to know how to select objects in your neural volume (NeRF or MPI)? Talk to @RenZhongzheng, @aseemaa, Bryan Russell, @oliverwang81 about Neural Volumetric Object Selection Session 2.1, 06/22 10am-12:30pm (ID 87a) Paper: arxiv.org/abs/2205.14929 Web: jason718.github.io/nvos/

Curious to know what's happening next? Talk to @ColinGraber, Cyril Jazra, Wenjie Luo, Liangyan Gui about Joint Forecasting of Panoptic Segmentations Oral: 06/21 1:30pm-3:00pm Session 1.2, 06/21 2:30pm-5pm (ID 7b) Paper: arxiv.org/abs/2204.07157 Web: github.com/cgraber/psf-di…

Congrats @ECEILLINOIS, @IllinoisCS students @RaymondYeh, @YuanTingHu1, @RenZhongzheng, @bowenc0221, @ColinGraber and colleagues for great #CVPR2022 work on total variation, universal & instance segmentation, forecasting and neural volumetric object selection. Talk to them @CVPR.

Fun work on neural volumetric object selection with @RenZhongzheng (@IllinoisCS), @aseemaa, Bryan Russell and @oliverwang81 from Adobe. arXiv: arxiv.org/abs/2205.14929 website: jason718.github.io/nvos/

Excited to share that our new work (w/ @adamliu123 @Cote_Marc @pyoudeyer @alexschwing ) has been accepted to #ICML2022. 🎉🎉🎉 Led by our amazing intern @adamliu123 , we investigate how RL agents can leverage external knowledge sources by querying them using language. [1/6]

Congrats to (almost) former @ECEIllinois, @IllinoisCS students @ColinGraber, @JyotiAneja and also to other recent graduates @UnnatJain2010, @SafaMessaoud3, @RaymondYeh. Enjoy the graduation ceremonies and keep up the great work.