Julian Chibane

[Julian Chibane @ChibaneJulian]

Check out how to better understand and generate human motion sequences in our new work UniMotion @3DVconf '25!

[Gerard Pons-Moll @GerardPonsMoll1]

Check out UniMotion (@3DVconf 25), the first human motion model which natively produces motion aligned frame level-text, can go from text to motion, motion to text, allows frame-level control, and is hierarchical.
https://t.co/qva7pZrbPi

Congrats @coralli04102979 et al.!

[Julian Chibane @ChibaneJulian]

It was a pleasure to give a talk at @Bosch_AI with @anna_khoreva and colleagues! Hope to see you in person soon.

[Julian Chibane @ChibaneJulian]

We lift images to 2.5D, by predicting front and back depth. Then, an IF-Net [Chibane et al. CVPR'20] creates the final 3D reconstruction.

Our key insight is that the depth estimation learns local, class agnostic reconstruction, allowing for generalization to novel classes.

[Julian Chibane @ChibaneJulian]

Thrilled to receive the best paper honorable mention at 3DV'22 - together with Yongqin & @bharat_b7.

Thanks to supervisors @zeynepakata, Bernt & @GerardPonsMoll1!

Our method improves single image 3D reconstruction and generalizes to novel object classes.
https://t.co/5tiv3xmqXo

[Julian Chibane @ChibaneJulian]

Box2Mask unlocks a large body of 3D detection datasets to be viable for learning instance segmentation. Checkout our paper, video and interactive visualization on our project page: https://t.co/NxmdZFbmQR! (5/5)

[Julian Chibane @ChibaneJulian]

Check out our new work: 𝐁𝐨𝐱𝟐𝐌𝐚𝐬𝐤 https://t.co/NxmdZFbmQR
We’re asking the question: Are 3D bounding box (BB) annotations enough to train dense 3D semantic instance segmentation? We find: Yes! (1/5)

[Julian Chibane @ChibaneJulian]

For each point in the input scene, Box2Mask predicts the instance, parameterized as a bounding box - solely trained with coarse bounding box annotations. Votes are clustered via a novel algorithm called Non-Maximum Clustering, tailored to the bounding box representation.

[Julian Chibane @ChibaneJulian]

From our group, Bharat Lal Bhatnagar, Garvita Tiwari, Ilya Petrov, Riccardo Marin, and I are Outstanding Reviewers at CVPR22! https://t.co/tanu4gwiVk
Also, many other colleagues are acknowledged! Congrats everyone!

[Julian Chibane @ChibaneJulian]

@davidstutz92 @DeepMind Congrats David! Very cool!

[Julian Chibane @ChibaneJulian]

Thrilled to receive the Facebook/@Meta Research 𝗙𝗲𝗹𝗹𝗼𝘄𝘀𝗵𝗶𝗽 𝗔𝘄𝗮𝗿𝗱 for my work on capture and synthesis of 3D scenes and humans.

Extremely grateful for the support of my advisor @GerardPonsMoll1 and Bernt Schiele.

Congrats to all fellows!
https://t.co/d6RtzvgrG2

[Julian Chibane @ChibaneJulian]

Our IF-Networks for 3D shape and texture reconstruction won again #1 place at SHARP'21 #CVPR21 - together with @GerardPonsMoll1

In our experience IF-Net is a powerful 3D processing tool - check it at https://t.co/prwwObDZHW

Thanks @AouadaDjamila @Artec3DScanners + organizers!

[Julian Chibane @ChibaneJulian]

Join us in 20 minutes at #CVPR2021 and find out about
Stereo Radiance Fields (SRF)

How to make NeRF
- generalise to new scenes?
- work with only 10 views?
- and integrate classical stereo to NeRF?

Code/Paper: https://t.co/JZL5RT2fzr