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09/16/2023
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy
Due to the inherent uncertainty in their deformability during motion, pr...
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06/14/2023
GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy
Due to the inherent uncertainty in their deformability during motion, pr...
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06/13/2023
Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model
Text-to-image generative models have attracted rising attention for flex...
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05/31/2023
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
We address the problem of biased gradient estimation in deep Boltzmann m...
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12/29/2022
Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following
Agents that can follow language instructions are expected to be useful i...
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11/28/2022
Realtime Fewshot Portrait Stylization Based On Geometric Alignment
This paper presents a portrait stylization method designed for real-time...
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11/25/2022
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
The rise of generalist large-scale models in natural language and vision...
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09/15/2022
Langevin Autoencoders for Learning Deep Latent Variable Models
Markov chain Monte Carlo (MCMC), such as Langevin dynamics, is valid for...
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07/20/2022
World Robot Challenge 2020 – Partner Robot: A Data-Driven Approach for Room Tidying with Mobile Manipulator
Tidying up a household environment using a mobile manipulator poses vari...
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06/28/2022
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment
Vision Transformer (ViT) is becoming more popular in image processing. S...
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05/24/2022
Large Language Models are Zero-Shot Reasoners
Pretrained large language models (LLMs) are widely used in many sub-fiel...
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11/25/2021
Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization
Domain generalization (DG) is a difficult transfer learning problem aimi...
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10/13/2021
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
An interactive instruction following task has been proposed as a benchma...
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05/14/2021
Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL
There is considerable interest in designing meta-reinforcement learning ...
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02/17/2021
Group Equivariant Conditional Neural Processes
We present the group equivariant conditional neural process (EquivCNP), ...
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01/11/2021
Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks
This paper introduces our methodology to estimate sidewalk accessibiliti...
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04/29/2019
Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
Learning domain-invariant representation is a dominant approach for doma...
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04/06/2018