Search Results for author:
Found 18 papers, 7 papers with code
Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation
Captioned images are widely available on the web, while the captions often contain the names of the subjects in the images.
CLIP$^2$: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data
Contrastive Language-Image Pre-training, benefiting from large-scale unlabeled text-image pairs, has demonstrated great performance in open-world vision understanding tasks.
CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data
Contrastive Language-Image Pre-training, benefiting from large-scale unlabeled text-image pairs, has demonstrated great performance in open-world vision understanding tasks.
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
The attention mechanism of the transformer enables our model to adaptively determine where and what information should be taken from the image, leading to a robust and effective fusion strategy.
Ranked #3 on
3D Object Detection
on nuScenes LiDAR only
Adversarial Robustness under Long-Tailed Distribution
We then perform a systematic study on existing long-tailed recognition methods in conjunction with the adversarial training framework.
A Unified Framework for Shot Type Classification Based on Subject Centric Lens
Shots are key narrative elements of various videos, e. g. movies, TV series, and user-generated videos that are thriving over the Internet.
Online Multi-modal Person Search in Videos
The task of searching certain people in videos has seen increasing potential in real-world applications, such as video organization and editing.
MovieNet: A Holistic Dataset for Movie Understanding
We believe that such a holistic dataset would promote the researches on story-based long video understanding and beyond.
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets
We present a new loss function called Distribution-Balanced Loss for the multi-label recognition problems that exhibit long-tailed class distributions.
Ranked #6 on
Long-tail Learning
on VOC-MLT
Learn to Propagate Reliably on Noisy Affinity Graphs
Recent works have shown that exploiting unlabeled data through label propagation can substantially reduce the labeling cost, which has been a critical issue in developing visual recognition models.
Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
Place is an important element in visual understanding.
A Local-to-Global Approach to Multi-modal Movie Scene Segmentation
Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in a physical environment.
A Graph-Based Framework to Bridge Movies and Synopses
On top of this dataset, we develop a framework to perform matching between movie segments and synopsis paragraphs.
WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian.
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries
The thriving of video sharing services brings new challenges to video retrieval, e. g. the rapid growth in video duration and content diversity.
Person Search in Videos with One Portrait Through Visual and Temporal Links
In real-world applications, e. g. law enforcement and video retrieval, one often needs to search a certain person in long videos with just one portrait.
From Trailers to Storylines: An Efficient Way to Learn from Movies
Experiments on this dataset showed that the proposed method can substantially reduce the training time while obtaining highly effective features and coherent temporal structures.
Unifying Identification and Context Learning for Person Recognition
In this work, we aim to move beyond such limitations and propose a new framework to leverage context for person recognition.
