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06/07/2023
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels
Training a 3D human keypoint detector from point clouds in a supervised ...
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04/04/2023
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild
Modeling the 3D world from sensor data for simulation is a scalable way ...
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10/15/2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining
Continued improvements in deep learning architectures have steadily adva...
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10/14/2022
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
Learning-based perception and prediction modules in modern autonomous dr...
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12/14/2021
Revisiting 3D Object Detection From an Egocentric Perspective
3D object detection is a key module for safety-critical robotics applica...
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03/08/2021
Offboard 3D Object Detection from Point Cloud Sequences
While current 3D object recognition research mostly focuses on the real-...
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02/10/2021
Scale Normalized Image Pyramids with AutoFocus for Object Detection
We present an efficient foveal framework to perform object detection. A ...
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07/19/2020
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
The widely adopted sequential variant of Non Maximum Suppression (or Gre...
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04/02/2020
DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes
We propose DOPS, a fast single-stage 3D object detection method for LIDA...
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04/29/2019
Adversarial Training for Free!
Adversarial training, in which a network is trained on adversarial examp...
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04/11/2019
An Analysis of Pre-Training on Object Detection
We provide a detailed analysis of convolutional neural networks which ar...
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12/13/2018
FA-RPN: Floating Region Proposals for Face Detection
We propose a novel approach for generating region proposals for performi...
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12/04/2018
AutoFocus: Efficient Multi-Scale Inference
This paper describes AutoFocus, an efficient multi-scale inference algor...
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11/27/2018
Universal Adversarial Training
Standard adversarial attacks change the predicted class label of an imag...
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11/24/2018
Generate, Segment and Replace: Towards Generic Manipulation Segmentation
It has been witnessed an emerging demand for image manipulation segmenta...
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06/18/2018
Soft Sampling for Robust Object Detection
We study the robustness of object detection under the presence of missin...
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05/23/2018
SNIPER: Efficient Multi-Scale Training
We present SNIPER, an algorithm for performing efficient multi-scale tra...
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04/03/2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Data poisoning is a type of adversarial attack on machine learning model...
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03/14/2018
Face-MagNet: Magnifying Feature Maps to Detect Small Faces
In this paper, we introduce the Face Magnifier Network (Face-MageNet), a...
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08/14/2017
SSH: Single Stage Headless Face Detector
We introduce the Single Stage Headless (SSH) face detector. Unlike two s...
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07/31/2017
Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection
In this work, we propose an efficient and effective approach for unconst...
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04/25/2016
Supervised Incremental Hashing
We propose an incremental strategy for learning hash functions with kern...
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12/24/2015
G-CNN: an Iterative Grid Based Object Detector
We introduce G-CNN, an object detection technique based on CNNs which wo...
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11/24/2013