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03/09/2023
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation
Accurately estimating 3D hand pose is crucial for understanding how huma...
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12/08/2022
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration
The ability to learn from human demonstration endows robots with the abi...
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05/02/2022
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection
Considerable research efforts have been devoted to LiDAR-based 3D object...
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03/16/2022
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild
We aim to improve the performance of regressing hand keypoints and segme...
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02/10/2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer
A popular paradigm in robotic learning is to train a policy from scratch...
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11/07/2021
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects
Manipulating articulated objects requires multiple robot arms in general...
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10/21/2021
Sequential Decision-Making for Active Object Detection from Hand
A key component of understanding hand-object interactions is the ability...
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09/21/2021
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation
We present KDFNet, a novel method for 6D object pose estimation from RGB...
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09/21/2021
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation
We present a large-scale stereo RGB image object pose estimation dataset...
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08/16/2021
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
The goal of No-Reference Image Quality Assessment (NR-IQA) is to estimat...
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05/13/2021
Neighborhood-Aware Neural Architecture Search
Existing neural architecture search (NAS) methods often return an archit...
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04/01/2021
RePOSE: Real-Time Iterative Rendering and Refinement for 6D Object Pose Estimation
The use of iterative pose refinement is a critical processing step for 6...
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12/03/2020
Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades
Recent work on efficient neural network architectures focuses on discove...
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08/09/2020
3D Human Motion Estimation via Motion Compression and Refinement
We develop a technique for generating smooth and accurate 3D human pose ...
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08/04/2020
Importance of Self-Consistency in Active Learning for Semantic Segmentation
We address the task of active learning in the context of semantic segmen...
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07/23/2020
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Convolutional operations have two limitations: (1) do not explicitly mod...
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03/16/2020
Learning Shape Representations for Clothing Variations in Person Re-Identification
Person re-identification (re-ID) aims to recognize instances of the same...
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05/15/2019
Human Motion Trajectory Prediction: A Survey
With growing numbers of intelligent systems in human environments, the a...
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04/12/2019
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning
Automatically reasoning about future human behaviors is a difficult prob...
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03/21/2019
Future Near-Collision Prediction from Monocular Video: Feasibility, Dataset, and Challenges
We explore the possibility of using a single monocular camera to forecas...
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02/01/2019
Learnable Embedding Space for Efficient Neural Architecture Compression
We propose a method to incrementally learn an embedding space over the d...
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12/03/2018
VADRA: Visual Adversarial Domain Randomization and Augmentation
We address the issue of learning from synthetic domain randomized data e...
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11/14/2018
Domain Randomization for Scene-Specific Car Detection and Pose Estimation
We address the issue of domain gap when making use of synthetic data to ...
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09/29/2018
Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
The use of imitation learning to learn a single policy for a complex tas...
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08/06/2018
Error Correction Maximization for Deep Image Hashing
We propose to use the concept of the Hamming bound to derive the optimal...
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06/22/2018
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Humans are able to understand and perform complex tasks by strategically...
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06/20/2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
We address the problem of spatial segmentation of a 2D object in the con...
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10/21/2017
ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection
The use of random perturbations of ground truth data, such as random tra...
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10/06/2017
Efficient K-Shot Learning with Regularized Deep Networks
Feature representations from pre-trained deep neural networks have been ...
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09/25/2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Recurrent neural networks (RNNs) are a vital modeling technique that rel...
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09/22/2017
Inverse Reinforcement Learning with Conditional Choice Probabilities
We make an important connection to existing results in econometrics to d...
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09/18/2017
N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning
While bigger and deeper neural network architectures continue to advance...
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04/07/2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
We propose a privacy-preserving framework for learning visual classifier...
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12/22/2016
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
We address the problem of incrementally modeling and forecasting long-te...
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12/12/2016
Deep Supervised Hashing with Triplet Labels
Hashing is one of the most popular and powerful approximate nearest neig...
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12/09/2016
Gesture-based Bootstrapping for Egocentric Hand Segmentation
Accurately identifying hands in images is a key sub-task for human activ...
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12/08/2016
Contextual Visual Similarity
Measuring visual similarity is critical for image understanding. But wha...
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12/01/2016
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Deep convolutional neural networks continue to advance the state-of-the-...
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06/15/2016
Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures
We envision a future time when wearable cameras are worn by the masses a...
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04/05/2016
