Search Results for author:
Found 9 papers, 6 papers with code
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Contrastive learning allows us to flexibly define powerful losses by contrasting positive pairs from sets of negative samples.
A Comprehensive Study of Deep Video Action Recognition
Video action recognition is one of the representative tasks for video understanding.
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Many real-world video-text tasks involve different levels of granularity, such as frames and words, clip and sentences or videos and paragraphs, each with distinct semantics.
Ranked #4 on
Video Captioning
on ActivityNet Captions
Temporal Shift GAN for Large Scale Video Generation
In this paper, we present a network architecture for video generation that models spatio-temporal consistency without resorting to costly 3D architectures.
Learning Representations for Predicting Future Activities
Foreseeing the future is one of the key factors of intelligence.
ECO: Efficient Convolutional Network for Online Video Understanding
In this paper, we introduce a network architecture that takes long-term content into account and enables fast per-video processing at the same time.
Ranked #66 on
Action Recognition
on Something-Something V1
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
In this paper, we propose a network architecture that computes and integrates the most important visual cues for action recognition: pose, motion, and the raw images.
Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild
With the help of a sample-variant multi-tasking architecture, the network is trained on different tasks depending on the availability of ground-truth.
Orientation-boosted Voxel Nets for 3D Object Recognition
In this paper, we show that the object orientation plays an important role in 3D recognition.
Ranked #2 on
3D Object Classification
on ModelNet10
