David Hoffmann

[David Hoffmann @DavidTHoffmann]

Big thanks to our amazing co-authors: Max Argus, Volker Fischer, and Thomas Brox 🙌

[David Hoffmann @DavidTHoffmann]

@SimonSchrodi and I will present our joint work, “Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models,” this Thursday as an Oral (top 1.8%) at #ICLR2025!🎉
🧵

[David Hoffmann @DavidTHoffmann]

Even better, if you're at ICLR next week:
🖼️ Poster — April 24, 10 a.m. - 12:30 p.m., Hall 3 + Hall 2B (#481)
🎤 Oral — April 24, 4:30 p.m. - 4:42 p.m, Garnet 213–215 (oral session 2B)
☕ Or just catch us over coffee!

[María A. Bravo @MariaAleBravo]

Very excited to share our OVAD paper accepted at #CVPR2023 !!!

We introduce an Open-vocabulary Attribute Detection (OVAD) task and the corresponding OVAD benchmark.

Check out the webpage: https://t.co/DXiof1rPfk
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[Vadim Sushko @vadim_sushko]

We are presenting our new paper "One-Shot Image and Mask Synthesis" at the upcoming #ECCV2022 workshops! With @isDanZhang, Jürgen Gall, and @anna_khoreva.

Check the links:
Paper: https://t.co/BxswFy7cUn
Code: https://t.co/dWYUXZKgFt
ECCV2022 L2ID video: https://t.co/rvBRVarmX4

[Philipp Schröppel @PhilSchroeppel]

Happy to announce the 𝗥𝗼𝗯𝘂𝘀𝘁 𝗠𝘂𝗹𝘁𝗶-𝘃𝗶𝗲𝘄 𝗗𝗲𝗽𝘁𝗵 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸 #3dv2022.

It evaluates robust depth estimation in an open world setting. Code is available for an easy evaluation of your model!

Paper: https://t.co/Rx2P7o7266
Code: https://t.co/5gJFU21k77
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[Simon Schrodi @SimonSchrodi]

Excited that our (updated) paper got accepted to #CVPR2022! My first paper to an international conference!
Thanks to my supervisors @t_saikia @ThomasBrox for their great advice and support!

[Computer Vision Freiburg @CVisionFreiburg]

The Computer Vision Group at the University Freiburg offers hosting computer vision researchers from Ukraine with a doctoral degree under the Philipp Schwartz program of the Humboldt Foundation. If you know someone interested to join our team contact Prof. Thomas Brox. #Ukraine

[David Hoffmann @DavidTHoffmann]

Our slot starts at 18:20 CET, 09:20 am PST and 1:20 am CST https://t.co/FcCHVBeAsp

[David Hoffmann @DavidTHoffmann]

Today @BehrmannNadine and I present our work "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" at #AAAI2022. If you are interested in contrastive learning, representation learning, OOD or ranking visit our poster in poster session 10.

[Computer Vision Freiburg @CVisionFreiburg]

Ever wondered what to do with ambiguous samples in contrastive learning? Check out the recent #AAAI2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" from @DavidTHoffmann and @BehrmannNadine! https://t.co/EvlV7MVRB9

[osama makansi @_os1a]

Excited to share that our paper "You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction" got accepted to #iclr2022. More details to follow...