Jitendra MALIK Profile
Jitendra MALIK

@JitendraMalikCV

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@JitendraMalikCV
Jitendra MALIK
2 years
Our robot dog can go up and down stairs, walk on stepping stones where even a single bad foot placement would lead to a disastrous fall, and rough terrain. All with just a single onboard RGBD camera & no maps.
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@JitendraMalikCV
Jitendra MALIK
1 year
We can now reconstruct 3D humans from single images (forthcoming, ICCV 2023). Model available to try on your images / videos at
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@JitendraMalikCV
Jitendra MALIK
9 months
Happy to present LVM (Large Vision Model). Scalable and tasks can be specified via prompts. Enjoy!
@YutongBAI1002
Yutong Bai
9 months
More information please check: and
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@JitendraMalikCV
Jitendra MALIK
6 months
We cast real-world humanoid control as a next token prediction problem, akin to predicting the next word in language. Check out our robot walking in San Francisco (Ilija Radosavovic et al)
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@JitendraMalikCV
Jitendra MALIK
6 months
Another success of sim-to-real for training robot policies! This task, using two multi-fingered hands, requires considerable dexterity, and is hopefully representative of other household tasks that we wish to solve in the future.
@ToruO_O
Toru
6 months
Achieving bimanual dexterity with RL + Sim2Real! TLDR - We train two robot hands to twist bottle lids using deep RL followed by sim-to-real. A single policy trained with simple simulated bottles can generalize to drastically different real-world objects.
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@JitendraMalikCV
Jitendra MALIK
7 months
Want to make your photorealistic 3D avatar dance like your favorite actor? Check this out!
@Boyiliee
Boyi Li
7 months
Super excited to announce our new work: Synthesizing Moving People with 3D Control (3DHM)💡 Why is 3DHM unique? With 3D Control, 3DHM can animate a 𝗿𝗮𝗻𝗱𝗼𝗺 human photo with 𝗮𝗻𝘆 poses in a 𝟯𝟲𝟬-𝗱𝗲𝗴𝗿𝗲𝗲 camera view and 𝗮𝗻𝘆 camera azimuths from 𝗮𝗻𝘆 video!
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@JitendraMalikCV
Jitendra MALIK
1 year
Just to be clear, this is a classic problem in computer vision. The novelty is in the high quality of the 3D reconstructions, even in the presence of occlusions and for unusual poses.
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@JitendraMalikCV
Jitendra MALIK
11 months
@fdellaert @maththrills @rodneyabrooks @hiskov @pabbeel @GeorgiaChal @TobiasRobotics @ian__manchester @navindak Frank, That was a tongue-in-cheek remark not to be taken seriously. I do seriously believe that CV people should get into robotics because the perception-action loop provides meaning to visual processing. Else we might be wasting time on artificial problems.
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@JitendraMalikCV
Jitendra MALIK
4 months
@ToruO_O There have been impressive recent results using tele-op trajectories for training robot policies. These are typically for hands that are parallel jaw grippers; work led by @ToruO_O in our lab at BAIR shows that one can do this now for multifingered hands with vision and touch.
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@JitendraMalikCV
Jitendra MALIK
5 months
@jane_h_wu @geopavlakos @georgiagkioxari Exciting results on the ability to 3dfy hands and objects given only a single image. This could pave the way for training robots to perform manipulation tasks by watching Internet videos.
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@JitendraMalikCV
Jitendra MALIK
9 months
@ir413 Signal boosting Ilija's post. More at
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