Shu Zhang

Shu Zhang AI researcher

[Shu Zhang @shugerdou]

I will present HIVE in CVPR. See you on next Wednesday!

[Caiming Xiong @CaimingXiong]

With @shugerdou @Xinyi__Yang @yihaocs
@shawnqin001 @chiachih @realNingYu @ZeyuanChen @huan__wang @silviocinguetta @StefanoErmon @CaimingXiong @stanleyran

[Ning Yu @realNingYu]

🎉ULIP-2 is accepted to #CVPR2024.🎉 May the recaptioning force be with your 3D multimodal learning.
Paper: https://t.co/8UwYFeoXml
Code: https://t.co/Vyq9jlJUbM
Blog: https://t.co/x2GXXNCHzQ
Team: @Le_Xue01 @realNingYu @shugerdou Artemis Panagopoulou @LiJunnan0409 @RobobertoMM @jiajunwu_cs @CaimingXiong @stanleyran @jcniebles @silviocinguetta

[Ning Yu @realNingYu]

📢 Our BannerGen open-source library incorporates LayoutDETR, LayoutInstructPix2Pix, and RetrieveAdapter in parallel for diversified experience of banner designs. Great work from the team: Chia-Chih Chen*, @realNingYu*, Zeyuan Chen, @shugerdou, @stanleyran

[Shu Zhang @shugerdou]

Excited to share our GlueGen. Thanks everyone for your wonderful work! See you in ICCV!

[Caiming Xiong @CaimingXiong]

We present ✍️GlueGen✍️, efficient adapters for diffusion models, that achieves X-to-image generation by multimodal controls: multilingual texts, sounds, and their mixes.
arXiv: https://t.co/35wCxQwlSw
Web: https://t.co/MEOdb1m9Sa
Code: https://t.co/eFrwK1XFFc
(1/n)

[Caiming Xiong @CaimingXiong]

We present ✍️GlueGen✍️, efficient adapters for diffusion models, that achieves X-to-image generation by multimodal controls: multilingual texts, sounds, and their mixes.
arXiv: https://t.co/35wCxQwlSw
Web: https://t.co/MEOdb1m9Sa
Code: https://t.co/eFrwK1XFFc
(1/n)

[Salesforce @salesforce]

@SFResearch Code:
https://t.co/j0uGSJ0bh4

Paper:
https://t.co/e9bpezehLv

Research by: @Le_Xue01, @realNingYu, @shugerdou, @LynetteSohn,@LiJunnan0409, @CaimingXiong, @stanleyran, @jcniebles, @silviocinguetta

[Marc Benioff @Benioff]

Amazing @silviocinguetta Salesforce AI new generative large multi-modal for image generation & editing w/ NLP! Great collaboration @SFResearch & ⁦@Stanford⁩.
Web: https://t.co/9n29XD7ICB
ArXiv: https://t.co/Xu37zq7lrw
Code: https://t.co/3sdOWyL2Lz https://t.co/3sdOWyL2Lz

[Silvio Savarese @silviocinguetta]

Excited to introduce a new generative large multi-modal model for image generation and editing using natural language! Great collaboration Salesforce AI Research @SFResearch and Stanford U!
Web: https://t.co/cCR2eVbwux
ArXiv: https://t.co/arwvJhw1B8
Code: https://t.co/cA2Jbkurhl

[Le Xue @Le_Xue01]

Introducing ULIP-2, our latest work scaling multimodal pre-training for 3D understanding without the need for any manual annotations. Check out our code & released large-scale tri-modal datasets!
https://t.co/Ez5jmIYYsZ
Arxiv:
https://t.co/R8DRklTXBK
Blog:
https://t.co/AxRNOhnsiR

[Shu Zhang @shugerdou]

@CVPR2019

[Stefano Ermon @StefanoErmon]

New blog post on our #AAAI2018 FlowGAN paper by @adityagrover_ and Manik Dhar: surprising results comparing GAN vs. mixture of Gaussians!
https://t.co/q3EXzrRzHh
(btw Manik is applying to PhD programs - check out his folder if you are hiring)

[Dmitry Ulyanov @DmitryUlyanovML]

Released paper: "Adversarial Generator-Encoder Networks" with V. Lempitsky, A. Vedaldi. https://t.co/APSpRMo0EY code https://t.co/ehdPrinzW8

[Rachel Eddy @amazonRach]

I'll be in New Orleans for the annual AAAI conference this week! Visit our page to learn more about Amazon Research and our publications at #AAAI2018 https://t.co/2IhlSrfHaI

[Shu Zhang @shugerdou]

@tibarazmi

[Shu Zhang @shugerdou]

@alxndrkalinin @googleresearch

[Shu Zhang @shugerdou]

@trustswz @iskorna @lucastheis

[Shu Zhang @shugerdou]

@gcosma1 @DeepLearningHub