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Found 17 papers, 10 papers with code
Learning Camera Movement Control from Real-World Drone Videos
This study seeks to automate camera movement control for filming existing subjects into attractive videos, contrasting with the creation of non-existent content by directly generating the pixels.
Learning to Select Views for Efficient Multi-View Understanding
Inspired by this we study selective view pipelining for efficient multi-view understanding which breaks computation of multiple views into steps and only computes the most helpful views/steps in a parallel manner for the best efficiency.
Optimizing Camera Configurations for Multi-View Pedestrian Detection
Jointly considering multiple camera views (multi-view) is very effective for pedestrian detection under occlusion.
Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances
Multiview camera setups have proven useful in many computer vision applications for reducing ambiguities, mitigating occlusions, and increasing field-of-view coverage.
Learning to Structure an Image with Few Colors and Beyond
To this end, we propose a color quantization network, ColorCNN, which learns to structure an image in limited color spaces by minimizing the classification loss.
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation
In this paper, we take the best of both worlds and propose multi-view correlation consistency (MVCC) learning: it considers rich pairwise relationships in self-correlation matrices and matches them across views to provide robust supervision.
Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking
In this paper, we design experiments to verify such misfit between global re-ID feature distances and local matching in tracking, and propose a simple yet effective approach to adapt affinity estimations to corresponding matching scopes in MTMCT.
Label-Free Model Evaluation with Semi-Structured Dataset Representations
In the absence of image labels, based on dataset representations, we estimate model performance for AutoEval with regression.
Memory-Free Generative Replay For Class-Incremental Learning
With the absence of old task images, they often assume that old knowledge is well preserved if the classifier produces similar output on new images.
Ranking Models in Unlabeled New Environments
For this problem, we propose to adopt a proxy dataset that 1) is fully labeled and 2) well reflects the true model rankings in a given target environment, and use the performance rankings on the proxy sets as surrogates.
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
Multiview detection incorporates multiple camera views to deal with occlusions, and its central problem is multiview aggregation.
Ranked #1 on
Multiview Detection
on CVCS
(Precision (1m) metric)
Visualizing Adapted Knowledge in Domain Transfer
We visualize the adapted knowledge on several datasets with different UDA methods and find that generated images successfully capture the style difference between the two domains.
Source Free Domain Adaptation with Image Translation
In this paper, we study the problem of source free domain adaptation (SFDA), whose distinctive feature is that the source domain only provides a pre-trained model, but no source data.
Multiview Detection with Feature Perspective Transformation
First, how should we aggregate cues from the multiple views?
Ranked #3 on
Multiview Detection
on CVCS
(Recall (1m) metric)
Learning to Structure an Image with Few Colors
Color and structure are the two pillars that construct an image.
Locality Aware Appearance Metric for Multi-Target Multi-Camera Tracking
Due to the continuity of target trajectories, tracking systems usually restrict their data association within a local neighborhood.
Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning
Since the output data size of a DNN layer can be larger than that of the raw data, offloading intermediate data between layers can suffer from high transmission latency under limited wireless bandwidth.
