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KuaiShou presents 8 papers at CVPR 2024, covering AI advancements in computer vision, video quality assessment, and 3D generation, showcasing cutting-edge research in machine learning and multimedia technologies.
Kuaishou invites attendees to its CVPR 2024 presence in Seattle, featuring an elite dinner, booth talks, tech talks, and a showcase of eight accepted papers covering video quality assessment, image generation, and multimodal AI, with detailed schedules, authors, and presentation locations, plus recruitment opportunities.
The Ant Technology Research Institute’s Interactive Intelligence Lab announced that 13 of its papers were accepted at CVPR 2023, alongside other recent achievements in generative models and 3D vision, highlighting collaborations with top universities and summarizing the lab’s contributions to artificial intelligence research.
This article reviews the evolution of deep‑learning image‑classification networks, surveys attention mechanisms for fine‑grained tasks, describes the CVPR 2022 FGVC9 competition solution using RegNetY and random attention cropping, and discusses its deployment in automotive series recognition along with future challenges.
Ant Group partnered with CVPR 2022’s 17th IEEE Computer Society Workshop on Biometrics to host two global competitions—pet biometric recognition and image forgery detection—attracting over 1,300 teams, with top university and industry teams presenting innovative AI solutions that have been open‑sourced.
Alibaba’s DaTaobao team presented six CVPR 2022 papers—covering video restoration, real‑time image enhancement, human‑object interaction detection, indirect illumination modeling, editable NeRFs, and robust NeRF reconstruction—with all code and models open‑sourced, and invites viewers to a live stream for detailed walkthroughs.
GoodFuture AI Institute secured four international titles at CVPR 2021—including Person In Context, UG²+, ETH‑XGaze, and ActivityNet—showcasing world‑class computer‑vision algorithms for human‑object interaction, low‑light face detection, gaze estimation, and active speaker detection, and highlighting their deployment in educational AI solutions.
Kuaishou secured 14 accepted papers at CVPR 2021, spanning 3D hand mesh recovery, unsupervised keypoint detection, point cloud completion, modular interactive video segmentation, deep video matting, co‑salient object detection, occlusion‑aware instance segmentation, semantic image matting, and face forgery detection, showcasing the maturity of its research collaborations.
At CVPR 2019, Didi’s technology team co‑hosted an autonomous‑driving workshop, showcased the D²‑City dataset, and secured second place in the AI City Challenge by introducing a modular multi‑camera tracking framework, a CNN‑based single‑camera tracker, and a staged aggregation strategy, while outlining its hybrid dispatch commercial plan.