Search Results for author:
Found 14 papers, 6 papers with code
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection
Fusing camera and radar data is challenging, however, as each of the sensors lacks information along a perpendicular axis, that is, depth is unknown to camera and elevation is unknown to radar.
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection
The popular object detection metric 3D Average Precision (3D AP) relies on the intersection over union between predicted bounding boxes and ground truth bounding boxes.
Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
We enforce spatial consistency of grouping and bootstrap feature learning with co-segmentation among multiple views of the same image, and enforce semantic consistency across the grouping hierarchy with clustering transformers between coarse- and fine-grained features.
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning
Weakly supervised segmentation requires assigning a label to every pixel based on training instances with partial annotations such as image-level tags, object bounding boxes, labeled points and scribbles.
Contextual Image Parsing via Panoptic Segment Sorting
We aim to leverage the densely labeled task, image parsing, a. k. a panoptic segmentation, to learn a model that encodes and discovers object-centric context.
SegSort: Segmentation by Discriminative Sorting of Segments
The proposed SegSort further produces an interpretable result, as each choice of label can be easily understood from the retrieved nearest segments.
Ranked #10 on
Unsupervised Semantic Segmentation
on PASCAL VOC 2012 val
(using extra training data)
DeeperLab: Single-Shot Image Parser
We present a single-shot, bottom-up approach for whole image parsing.
Ranked #32 on
Panoptic Segmentation
on Cityscapes val
Adversarial Structure Matching for Structured Prediction Tasks
The structure analyzer is trained to maximize the ASM loss, or to emphasize recurring multi-scale hard negative structural mistakes among co-occurring patterns.
Learning Beyond Human Expertise with Generative Models for Dental Restorations
In the dental industry, it takes a technician years of training to design synthetic crowns that restore the function and integrity of missing teeth.
Adaptive Affinity Fields for Semantic Segmentation
Semantic segmentation has made much progress with increasingly powerful pixel-wise classifiers and incorporating structural priors via Conditional Random Fields (CRF) or Generative Adversarial Networks (GAN).
Ranked #55 on
Semantic Segmentation
on Cityscapes test
Force From Motion: Decoding Physical Sensation in a First Person Video
In this paper, we focus on a problem of Force from Motion---decoding the sensation of 1) passive forces such as the gravity, 2) the physical scale of the motion (speed) and space, and 3) active forces exerted by the observer such as pedaling a bike or banking on a ski turn.
Egocentric Future Localization
We refine them by minimizing a cost function that describes compatibility between the obstacles in the EgoRetinal map and trajectories.
Pixel-wise Deep Learning for Contour Detection
We address the problem of contour detection via per-pixel classifications of edge point.
Contour Detection Using Cost-Sensitive Convolutional Neural Networks
We address the problem of contour detection via per-pixel classifications of edge point.
