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07/17/2023
Does Visual Pretraining Help End-to-End Reasoning?
We aim to investigate whether end-to-end learning of visual reasoning ca...
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06/20/2023
Dense Video Object Captioning from Disjoint Supervision
We propose a new task and model for dense video object captioning – dete...
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06/20/2023
How can objects help action recognition?
Current state-of-the-art video models process a video clip as a long seq...
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06/02/2023
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Observing the close relationship among panoptic, semantic and instance s...
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12/12/2022
NMS Strikes Back
Detection Transformer (DETR) directly transforms queries to unique objec...
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03/24/2022
Global Tracking Transformers
We present a novel transformer-based architecture for global multi-objec...
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01/07/2022
Detecting Twenty-thousand Classes using Image-level Supervision
Current object detectors are limited in vocabulary size due to the small...
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11/12/2021
Multimodal Virtual Point 3D Detection
Lidar-based sensing drives current autonomous vehicles. Despite rapid pr...
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03/12/2021
Probabilistic two-stage detection
We develop a probabilistic interpretation of two-stage object detection....
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02/25/2021
Simple multi-dataset detection
How do we build a general and broad object detection system? We use all ...
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06/19/2020
Center-based 3D Object Detection and Tracking
Three-dimensional objects are commonly represented as 3D boxes in a poin...
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04/02/2020
Tracking Objects as Points
Tracking has traditionally been the art of following interest points thr...
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04/16/2019
Objects as Points
Detection identifies objects as axis-aligned boxes in an image. Most suc...
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01/23/2019
Bottom-up Object Detection by Grouping Extreme and Center Points
With the advent of deep learning, object detection drifted from a bottom...
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03/25/2018
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Semantic keypoints provide concise abstractions for a variety of visual ...
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12/15/2017
Unsupervised Domain Adaptation for 3D Keypoint Prediction from a Single Depth Scan
In this paper, we introduce a novel unsupervised domain adaptation techn...
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04/08/2017
Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach
In this paper, we study the task of 3D human pose estimation in the wild...
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09/17/2016
Deep Kinematic Pose Regression
Learning articulated object pose is inherently difficult because the pos...
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06/22/2016