Cody Reading

[Cody Reading @code_red7777]

Happy to announce CaDDN has been accepted into #CVPR2021 as an Oral Presentation!

Categorical Depth Distribution Network for Monocular 3D Object Detection
https://t.co/AOi7LZXjVL

@UofTRobotics

[Haitham Bou Ammar @hbouammar]

Can #DeepSeek R1 help robotics planning?

Well, we tested it by creating a real-world checkers game, check it out on Hugging Face:

https://t.co/kdxhVGLBc4

#AI #MachineLearning

[Cody Reading @code_red7777]

@lily_goli @sellan_s @_AlecJacobson @taiyasaki Happy to help on an amazing project!

[Lily Goli @lily_goli]

Have you seen our new work on Uncertainty Quantification in NeRFs? 🤩
Wanna know how you can do this as a ✨post-hoc✨ method on any pre-trained NeRF of your favourite architecture in matter of minutes?
Here’s a high-level explanation! 🧵👇

[Andrea Tagliasacchi @taiyasaki]

📢📢📢 Introducing "𝐁𝐚𝐲𝐞𝐬' 𝐑𝐚𝐲𝐬: Uncertainty Quantification for Neural Radiance Fields"

TL;DR: 𝐜𝐚𝐧 𝐈 "𝐭𝐫𝐮𝐬𝐭" 𝐦𝐲 𝐍𝐞𝐑𝐅 𝐚𝐭 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧 𝐱?

https://t.co/t3XbRo3e5g
https://t.co/O4DgDBb34e

with @lily_goli , @sellan_s, @code_red7777, @_AlecJacobson.

[Cody Reading @code_red7777]

@alexcarliera @reshotAI Awesome work Alex, was wondering if you were planning on releasing this network?

[TRAILab @TRoboAIL]

Come to Poster 52b at #CVPR2022 to see our MASc candidate @Jordan_Hu talk about his work! PDV is a LiDAR 3D object detection network that explicitly encodes point density variations across distance in LiDAR point clouds.
Paper: https://t.co/B0K04bu21n

[Cody Reading @code_red7777]

@madeon Raise your weapon - Madeon Remix

[Cody Reading @code_red7777]

Just made the source code available, feel free to check it out here:
https://t.co/BPaj7ISZwu

[Cody Reading @code_red7777]

Happy to announce CaDDN has been accepted into #CVPR2021 as an Oral Presentation!

Categorical Depth Distribution Network for Monocular 3D Object Detection
https://t.co/AOi7LZXjVL

@UofTRobotics

[Cody Reading @code_red7777]

Code, Video, and Project Page coming soon!