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05/25/2023
EgoHumans: An Egocentric 3D Multi-Human Benchmark
We present EgoHumans, a new multi-view multi-human video benchmark to ad...
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05/22/2023
Type-to-Track: Retrieve Any Object via Prompt-based Tracking
One of the recent trends in vision problems is to use natural language c...
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05/10/2023
Perpetual Humanoid Control for Real-time Simulated Avatars
We present a physics-based humanoid controller that achieves high-fideli...
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05/10/2023
Joint Metrics Matter: A Better Standard for Trajectory Forecasting
Multi-modal trajectory forecasting methods commonly evaluate using singl...
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03/21/2023
3D-CLFusion: Fast Text-to-3D Rendering with Contrastive Latent Diffusion
We tackle the task of text-to-3D creation with pre-trained latent-based ...
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02/23/2023
Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification
Motion-based association for Multi-Object Tracking (MOT) has recently re...
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11/14/2022
Learnable Spatio-Temporal Map Embeddings for Deep Inertial Localization
Indoor localization systems often fuse inertial odometry with map inform...
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11/12/2022
3D-Aware Encoding for Style-based Neural Radiance Fields
We tackle the task of NeRF inversion for style-based neural radiance fie...
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10/17/2022
Track Targets by Dense Spatio-Temporal Position Encoding
In this work, we propose a novel paradigm to encode the position of targ...
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10/05/2022
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection
While recent camera-only 3D detection methods leverage multiple timestep...
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03/27/2022
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
Multi-Object Tracking (MOT) has rapidly progressed with the development ...
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03/24/2022
Occluded Human Mesh Recovery
Top-down methods for monocular human mesh recovery have two stages: (1) ...
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11/29/2021
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
A typical pipeline for multi-object tracking (MOT) is to use a detector ...
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11/25/2021
Cross-Domain Object Detection via Adaptive Self-Training
We tackle the problem of domain adaptation in object detection, where th...
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10/21/2021
AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
Humans typically perceive the establishment of an action in a video thro...
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07/23/2021
Multi-Echo LiDAR for 3D Object Detection
LiDAR sensors can be used to obtain a wide range of measurement signals ...
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07/08/2021
Multi-Modality Task Cascade for 3D Object Detection
Point clouds and RGB images are naturally complementary modalities for 3...
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04/17/2021
Wide-Baseline Multi-Camera Calibration using Person Re-Identification
We address the problem of estimating the 3D pose of a network of cameras...
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03/07/2021
Efficient Model Performance Estimation via Feature Histories
An important step in the task of neural network design, such as hyper-pa...
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03/04/2021
Inverse Reinforcement Learning with Explicit Policy Estimates
Various methods for solving the inverse reinforcement learning (IRL) pro...
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02/27/2021
DeepBLE: Generalizing RSSI-based Localization Across Different Devices
Accurate smartphone localization (< 1-meter error) for indoor navigation...
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02/08/2021
IDOL: Inertial Deep Orientation-Estimation and Localization
Many smartphone applications use inertial measurement units (IMUs) to se...
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12/10/2020
AutoSelect: Automatic and Dynamic Detection Selection for 3D Multi-Object Tracking
3D multi-object tracking is an important component in robotic perception...
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11/21/2020
Rethinking Transformer-based Set Prediction for Object Detection
DETR is a recently proposed Transformer-based method which views object ...
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10/13/2020
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
The ability to both recognize and discover terrain characteristics is an...
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08/22/2020
Few-Shot Learning with Intra-Class Knowledge Transfer
We consider the few-shot classification task with an unbalanced dataset,...
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08/20/2020
Graph Neural Networks for 3D Multi-Object Tracking
3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent ...
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08/18/2020
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
3D multi-object tracking (MOT) is essential to applications such as auto...
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07/27/2020
Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning
Diabetic Retinopathy (DR) is a leading cause of blindness in working age...
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06/23/2020
Joint Detection and Multi-Object Tracking with Graph Neural Networks
Object detection and data association are critical components in multi-o...
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06/17/2020
When We First Met: Visual-Inertial Person Localization for Co-Robot Rendezvous
We aim to enable robots to visually localize a target person through the...
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06/12/2020
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking with Multi-Feature Learning
3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent ...
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06/06/2020
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning
Blind or no-reference image quality assessment (NR-IQA) is a fundamental...
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03/18/2020
Sequential Forecasting of 100,000 Points
Predicting the future is a crucial first step to effective control, sinc...
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03/18/2020
Unsupervised Sequence Forecasting of 100,000 Points for Unsupervised Trajectory Forecasting
Predicting the future is a crucial first step to effective control, sinc...
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12/12/2019
Estimating 3D Camera Pose from 2D Pedestrian Trajectories
We consider the task of re-calibrating the 3D pose of a static surveilla...
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07/23/2019
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
This work addresses the task of open world semantic segmentation using R...
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07/11/2019
Diverse Trajectory Forecasting with Determinantal Point Processes
The ability to forecast a set of likely yet diverse possible future beha...
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07/09/2019
A Baseline for 3D Multi-Object Tracking
3D multi-object tracking (MOT) is an essential component technology for ...
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06/07/2019
Ego-Pose Estimation and Forecasting as Real-Time PD Control
We propose the use of a proportional-derivative (PD) control based polic...
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05/04/2019
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
We focus on the word-level visual lipreading, which requires recognizing...
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05/03/2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
For autonomous vehicles (AVs) to behave appropriately on roads populated...
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03/23/2019
Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud
Monocular 3D scene understanding tasks, such as object size estimation, ...
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03/04/2019
Modeling Social Group Communication with Multi-Agent Imitation Learning
In crowded social scenarios with a myriad of external stimuli, human bra...
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11/17/2018
GroundNet: Segmentation-Aware Monocular Ground Plane Estimation with Geometric Consistency
We focus on the problem of estimating the orientation of the ground plan...
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09/23/2018
Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection
Non-maximum suppression (NMS) is essential for state-of-the-art object d...
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09/22/2018
Shift-based Primitives for Efficient Convolutional Neural Networks
We propose a collection of three shift-based primitives for building eff...
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07/30/2018
HARMONIC: A Multimodal Dataset of Assistive Human-Robot Collaboration
We present HARMONIC, a large multi-modal dataset of human interactions i...
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07/22/2018
Understanding hand-object manipulation by modeling the contextual relationship between actions, grasp types and object attributes
This paper proposes a novel method for understanding daily hand-object m...
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04/11/2018