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09/20/2023
C·ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters
We present C·ASE, an efficient and effective framework that learns condi...
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07/05/2022
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation
It is essential yet challenging for future home-assistant robots to unde...
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12/19/2021
RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment
Part assembly is a typical but challenging task in robotics, where robot...
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12/01/2021
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions
Perceiving and interacting with 3D articulated objects, such as cabinets...
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07/06/2021
Contrastive Multimodal Fusion with TupleInfoNCE
This paper proposes a method for representation learning of multimodal d...
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06/28/2021
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects
Perceiving and manipulating 3D articulated objects (e.g., cabinets, door...
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04/08/2021
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds
In this work, we tackle the problem of category-level online pose tracki...
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12/24/2020
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Self-supervised representation learning is a critical problem in compute...
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12/08/2020
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
Localizing the camera in a known indoor environment is a key building bl...
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12/08/2020
Active Visual Localization in Partially Calibrated Environments
Humans can robustly localize themselves without a map after they get los...
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10/11/2020
IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration
Point cloud is an important 3D data representation widely used in many e...
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06/14/2020
Generative 3D Part Assembly via Dynamic Graph Learning
Autonomous part assembly is a challenging yet crucial task in 3D compute...
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12/08/2019
Deep Reflection Prior
Reflections are very common phenomena in our daily photography, which di...
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07/23/2019
GraphX^NET- Chest X-Ray Classification Under Extreme Minimal Supervision
The task of classifying X-ray data is a problem of both theoretical and ...
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07/11/2019
A General Decoupled Learning Framework for Parameterized Image Operators
Many different deep networks have been used to approximate, accelerate o...
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11/21/2018
Gated Context Aggregation Network for Image Dehazing and Deraining
Image dehazing aims to recover the uncorrupted content from a hazy image...
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11/07/2018
Image Smoothing via Unsupervised Learning
Image smoothing represents a fundamental component of many disparate com...
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07/21/2018
Decouple Learning for Parameterized Image Operators
Many different deep networks have been used to approximate, accelerate o...
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05/29/2018
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal
Removing reflection artefacts from a single-image is a problem of both t...
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08/11/2017
A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing
This paper proposes a deep neural network structure that exploits edge i...
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01/11/2017